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Preprint REVIEW | doi:10.20944/preprints202008.0627.v1

A Discussion on the Evolution of the Pathfinding Algorithms

Tong Pan, Shuk Ching Pun-Cheng

Subject: Engineering, Transportation Science And Technology Keywords: pathfinding; algorithms; multi-criteria; multi-modal; multi-network; transportation

Online: 28 August 2020 (09:09:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201702.0089.v2

Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China

Faping Wang, Jiali Yu, Peng Yang, Lixin Miao, Bin Ye

Subject: Engineering, Transportation Science And Technology Keywords: EVs; PHEVs; penetration; adoption; barriers; preference; willingness; attitude

Online: 26 February 2017 (10:33:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints201901.0193.v1

A New Location-Based Services Framework for Connected Vehicles Based on the Publish-Subscribe Communication Paradigm

Kachane Sonklin, Yanming Feng, Dhammika Jayalath, Charles Wang

Subject: Engineering, Transportation Science And Technology Keywords: location-based services; Vehicle-to-Everything(V2X); publish-subscribe; application protocol

Online: 20 January 2019 (09:43:11 CET)

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Location-Based Services (LBS) have been widely deployed for the connected vehicle (CV) applications such as vehicle navigation,vehicle tracking and location-based augmented reality. The current LBS deployments have limitations in supporting time-critical CV use cases, including vehicle to vehicle (V2V), vehicle to infrastructure (V2I) and vehicle-to-people (V2P) safety applications. The paper presents the new LBS framework based on the publish-subscribe communication paradigm, to enable device-to-device (D2D) connections through use of selected application protocols in the application layer of the TCP/IP layered protocol model. Two publish-subscribe application protocols, Distributed Data Service (DDS) real-time publish and subscribe (DDS-RTPS) and Message Queue Telemetry Transport (MQTT), are introduced to support the LBS D2D applications. A number of test scenarios with Mosquitto MQTT and OpenDDS under 4G-mobile broadband (MBB) services are designed to assess the transmit/receive round-trip time (RTT) and packet-loss rate (PLR) with settings of a publisher to multiple subscribers, to simulate the connections to multiple vehicles. The transmission frequency is set for 10 Hz and the message sizes vary from 100 to 2000 Bytes. The PLRs are defined as the percentages of the delayed messages beyond a delay limit. Static test results with OpenDDS show that for the RTT delay beyond the limit of 100 ms, the total PLRs range between 5.25% and 8.76% for the message size of 50 to 2000 Bytes. Vehicle testing results with Mosquitto show that PLRs for the RTT delays between 200 ms and 1000 ms are 0.63%, 3.58% and 5.77%, for connections with 1, 4 and 10 vehicles, respectively. The results demonstrate the potential of the D2D LBS framework for medium-demanding CV safety applications such as V2P and V2I use cases, taking advantages of the 4G-MBB services and 5G extreme mobile broadband (eMBB) services and mobile devices generally available with all road users.

Preprint ARTICLE | doi:10.20944/preprints201703.0213.v1

An Entropy-based Approach for Evaluating Travel Time Predictability Based on Vehicle Trajectory Data

Tao Xu, Xiang Li

Subject: Engineering, Transportation Science And Technology Keywords: travel time predictability; multiple entropy; travel time series; vehicle trajectory data

Online: 28 March 2017 (17:22:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201708.0040.v2

An Adaptive Sweep-Circle Spatial Clustering Algorithm Based on Gestalt

Qingming Zhan, Shuguang Deng, Zhihua Zheng

Subject: Engineering, Transportation Science And Technology Keywords: spatial clustering; sweep-circle; Gestalt theory; data stream

Online: 24 August 2017 (10:53:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202304.0373.v1

Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review

Liyana Wijayathunga, Alexander Rassau, Douglas Chai

Subject: Engineering, Transportation Science And Technology Keywords: unstructured environments; mobile robots; robot navigation; perception; scene understanding; path planning; autonomous robots; ground robots

Online: 17 April 2023 (02:57:09 CEST)

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The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related disciplines such as cognitive science. In controlled environments, autonomous robots have been able to achieve relatively high levels of autonomy. In more unstructured environments, however, the realisation of autonomous mobile robots remains challenging due to limitations in the robots’ external environment understanding. Many autonomous mobile robots use classical, learning-based or hybrid approaches for navigation. The classical navigation approach typically includes robot perception, localisation, environmental mapping, path planning and motion control stages. More recent learning-based methods may replace the complete navigation pipeline or selected stages of the classical approach. For effective deployment, autonomous robots need to be able to understand their external environments at a sophisticated level according to their intended applications. Therefore, in addition to robot perception, scene analysis and higher-level scene understanding (e.g., traversable/non-traversable, and rough or smooth terrain) are required for autonomous robot navigation in unstructured outdoor environments. A wide number of alternative approaches have been proposed in recent years to attempt to address these scene understanding requirements. This paper provides a comprehensive review and critical analysis of these methods in the context of their applications to the problems of robot perception and scene understanding in unstructured environments, and the related problems of localisation, environment mapping and path planning. State-of-the-art sensor fusion methods and multimodal scene understanding approaches are also discussed and evaluated within this context. The paper concludes with an in-depth discussion regarding the current state of the autonomous ground robot navigation challenge in unstructured outdoor environments and the most promising future research directions to overcome these challenges.

Preprint ARTICLE | doi:10.3390/sci1020052

Railway Vehicle Wheel Restoration by Submerged Arc Welding and Its Characterization

Byeong-Choo Coo, Young-Jin Lee

Subject: Engineering, Transportation Science And Technology Keywords: bainite; submerged arc welding; hardfacing; reprofiling; railway wheel; wear

Online: 4 September 2019 (00:00:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201702.0089.v1

Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China

Faping Wang, Jiali Yu, Peng Yang, Lixin Miao, Bin Ye

Subject: Engineering, Transportation Science And Technology

Online: 23 February 2017 (18:15:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0452.v1

Understanding the Driving Patterns of the Carbon Emissions in Transport Sector in China: A Panel Data Analysis and Zoning Effect

Danting Lin, Rongzu Qiu, Xisheng Hu, Jiankai Wang, Lanyi Zhang, Cheng Chen, Yuying Lin

Subject: Engineering, Transportation Science And Technology Keywords: transportation; carbon emission; carbon intensity; panel data analysis; China

Online: 30 May 2018 (16:16:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201708.0040.v1

An Adaptive Sweep-circle Spatial Clustering Algorithm Based on Gestalt

Qingming Zhan, Shuguang Deng, Zhihua Zheng

Subject: Engineering, Transportation Science And Technology Keywords: spatial clustering; sweep-circle; gestalt theory; data stream

Online: 10 August 2017 (10:14:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201907.0287.v1

A Method Framework for Automatic Airspace Reconfiguration-Monte Carlo Method for Eliminating Irregular Sector Shapes Generated by Region Growth Method

ZhiJian Ye, FanHe Kong, BaoCheng Zhang, Wei Gao, JianFeng Mao

Subject: Engineering, Transportation Science And Technology Keywords: Airspace Reconfiguration; irregular boundary smoothing; dynamic Monte Carlo method by changing location of flexible vertices; Monte Carlo method by radius changing; Voronoi diagram; graph cutting; multi-objective optimization

Online: 25 July 2019 (10:22:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0385.v2

Study of the behavior pattern, carbon reduction effect and business costs of electric motorcycles on island

Shyang-Chyuan Fang

Subject: Engineering, Transportation Science And Technology Keywords: low carbon island; electric motorcycles; green transport; battery exchange; carbon emissions

Online: 5 September 2018 (16:23:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0293.v1

Mapping Frictions Preventing from Bicycle Commuting

Diego Pajarito, Michael Gould

Subject: Engineering, Transportation Science And Technology Keywords: urban cycling; geo-game; spatial analysis; frictions; LBS; GPS

Online: 16 July 2018 (14:56:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0118.v1

Estimating Warship Depot Maintenance Durations

Christopher Williams

Subject: Engineering, Transportation Science And Technology Keywords: Surface Ship Maintenance; Depot Maintenance; Predictive Modeling

Online: 6 January 2021 (14:15:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202104.0318.v1

Real-Time Video Image Processing based on Kerr Soliton Krystal Microcombs

mengxi tan, xingyuan xu, David Moss

Subject: Engineering, Transportation Science And Technology Keywords: Kerr frequency comb; Hilbert transform; integrated optics; all-optical signal processing; image processing; video image processing

Online: 12 April 2021 (14:27:20 CEST)

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Preprint REVIEW | doi:10.20944/preprints202304.0568.v1

Vehicle Emission Models and Traffic Simulators: A Review

Maksymilian Mądziel

Subject: Engineering, Transportation Science And Technology Keywords: vehicles; emission modelling; traffic simulation; air pollution; emission compounds

Online: 19 April 2023 (08:06:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0385.v1

Study of the behavior pattern, carbon reduction effect and business costs of electric motorcycles on island

Shyang-Chyuan Fang

Subject: Engineering, Transportation Science And Technology Keywords: low carbon island; electric motorcycles; green transport; battery exchange; carbon emissions

Online: 20 July 2018 (13:10:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0269.v1

Application of Long Short Term Memory Networks for Long- and Short-term Bus Travel Time Prediction

Osama Osman, Hesham Rakha, Archak Mittal

Subject: Engineering, Transportation Science And Technology Keywords: Travel Time Prediction; Deep Learning; Long Short Term Memory Networks; transit; temporal correlation

Online: 9 April 2021 (15:04:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0386.v2

Conceptualising Micromobility: The Multi-Dimensional and Socio-Technical Perspective

Frauke Behrendt, Eva Heinen, Christian Brand, Sally Cairns, Jillian Anable, Labib Azzouz, Clara Glachant

Subject: Engineering, Transportation Science And Technology Keywords: micromobility; sustainable transport; electric vehicles; active travel; LEV; so-cio-technical analysis

Online: 28 June 2023 (02:20:07 CEST)

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Micromobility has gained attention from policymakers, industry stakeholders, and academia; however, a comprehensive conceptualization of micromobility is still missing. Existing definitions are largely vehicle-centric: either listing modes or detailing vehicle characteristics. This paper addresses this gap by developing a ‘beyond vehicles’, multi-dimensional conceptualization of micromobility, accompanied by a novel socio-technical definition. Through a review of related concepts, combined with an analysis of the use and definitions of the term micromobility in publications, this study establishes a new conceptualization of micromobility. It incorporates human, social, and cultural dimensions, considers environmental, economic, infrastructure, vehicle technology, regulatory and policy aspects, and considerations for public health. Our definition of micromobility encompasses a wide range of mobility options typically used for shorter trips and manoeuvrable by an individual without motor assistance, at least for short distances. These modes are characterized by their ‘micro’ attributes, including low energy demand, environmental impact, and road space use relative to automobility. The conceptualization incorporates a range of micromobility modes, including fully human-powered (including walking), partially motor-assisted, and fully powered options. These modes typically operate at speeds not exceeding 25 to 32 kilometres per hour (or 45 km/h for faster options), weigh (typically substantially) below 350 kilograms and often yield significant (public) health benefits. Trip length is generally less than 15 kilometres, and daily distances under 80 kilometres. Importantly, our definition includes the practices, policies, cultures, and infrastructures that emerge around the use of micromobility options and shape their uptake. This proposed conceptualization significantly broadens the prevailing vehicle-focus in micromobility debates towards a socio-technical perspective. Embracing a widely accepted conceptualisation of micromobility would offer several advantages, including robust design standards, legislation, and evaluation metrics and methods. Additionally, this paper highlights the pivotal role micromobilities can play in transcending the limitations of automobility, towards more sustainable and equitable mobility futures.

Preprint ARTICLE | doi:10.20944/preprints202106.0289.v1

Paradigm of Historical Science in Development of Land Transportation facilities in DKI Jakarta

Alfi M. Firdaus, Moses Pandin

Subject: Engineering, Transportation Science And Technology Keywords: effectiveness; efficiency; Jakarta; transportation

Online: 10 June 2021 (11:17:14 CEST)

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Jakarta is the capital city of Indonesia, which has its own problems in building transportation facilities, especially on land routes. For private vehicle users, congestion is a common thing, given the very dense number of people living in Jakarta, both natives and migrants from outside the region. And for users of public transportation services such as city transportation (angkot) and transjakarta, convenience is the main obstacle. And even though it is a public vehicle, it cannot avoid congestion because it is in one lane with private vehicles except for the transjakarta bus which has its own lane. Meanwhile, for train-based public transportation such as MRT (Mass Rapid Transit), LRT (Light rail Transit), and electric railroad (KRL), the problem is the lack of integration, namely that many stations are not yet integrated with other transportation. Various policies have been implemented to overcome these problems. This study aims to determine the level of effectiveness and efficiency of public transportation in DKI Jakarta today. The method used in this research is qualitative-descriptive through a literature review on 16 journal articles and 4 websites. The results of this study indicate that congestion is a major problem in the means of transportation in Jakarta. This is due to the increase in population due to urbanization which is also accompanied by an increase in the number of private vehicles. Therefore, to overcome this, the Jakarta Provincial Government has made improvements, reforms, and developments in public transportation. And it is hoped that people who originally used private vehicles will switch to using public transportation. But in reality, various problems in public transportation in Jakarta have not been resolved properly. Especially why traffic jams still occur?, and what are the solutions to overcome them?. It is hoped that the results of the findings of this study can be used as a reference in making or designing policies and can contribute to overcoming problems in the transportation sector, especially in the DKI Jakarta area. The limit of this research is that it only focuses on land transportation facilities in Jakarta.

Preprint ARTICLE | doi:10.20944/preprints202206.0377.v1

Traffic Flow as a Simple Fluid: Towards a Scaling Theory of Urban Congestion

Jorge Laval

Subject: Engineering, Transportation Science And Technology Keywords: Urban congestion; Traffic flow theory; Phase transitions; KPZ universality class; Nonequilibrium physics

Online: 28 June 2022 (05:08:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0434.v1

Development of a Computational Fluid Dynamics Model for Ice Formation: Validation and Parameter Analysis

Carlo Ferro, Paolo Maggiore, Daniele Champvillair

Subject: Engineering, Transportation Science And Technology Keywords: Computational Fluid Dynamics; Anti Icing System; Ice Accretion Models, De-Icing System, Aer-ospace Systems Engineering

Online: 27 March 2023 (02:58:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0300.v1

An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space

Sedar Olmez, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, Rajith Vidanaarachchi

Subject: Engineering, Transportation Science And Technology Keywords: agent-based model; electric vehicles; traffic simulation; energy intake; urban environment; fuel costs; public policy; electric mobility

Online: 29 April 2022 (11:05:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0186.v1

Regenerative Braking Energy Recovery of a DC Third Rail System: A case study of Malaysia Mass Rapid Transit Line 2

Xin Rong Chua, Kein Huat Chua, Lee Cheun Hau, Yun Seng Lim, Wang Li, Mohammad Babrdel Bonab

Subject: Engineering, Transportation Science And Technology Keywords: DC third rail; energy efficiency; regenerative braking energy recovery

Online: 4 July 2023 (09:57:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0118.v1

Promoting Circular Waterway Transport System for Recreational Water Environments and Integrated Urban Transportation Systems in Rajshahi City, Bangladesh

Anutosh Das, Shajibul Haque

Subject: Engineering, Transportation Science And Technology Keywords: Circular Waterways; Outdoor recreation facilities; fluid landscape paradise; Blue-Green Infra-structure

Online: 8 September 2022 (05:44:43 CEST)

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Rajshahi, blessed by the geographical advantage provided by the river Padma, is a beautiful and one of the cleanest cities in Bangladesh. It presents a spectacular image and stunning sight to its residents. But Rapid urbanization created immense pressure on the infrastructures and cityscape by rescinding most of the natural assets and scenic beauty it possessed historically. The growing pressure of population influx accompanied by unplanned urbanization threatens the survival of its waterbodies, wetlands, and greeneries, which many other contemporary cities strive to achieve with hard-hearted planning measures. Moreover, the city suffers from inadequate provision of quality outdoor recreational facilities. Yet because of the verdant resources, it still can set an example of becoming green and fluid landscape. There are scopes to connect the city people to the urban landscape and blue-green infrastructures by applying proper planning and urban design techniques. For example, it can explore the potential and scope of a water-based transportation system to create outdoor recreation space for city dwellers as well as a transport mode in the city. This SECTION discusses the prospects and potential of enhancing recreational aspects of Circular Inland Waterways. It also analyzes the benefits of a network of waterways well-connected and integrated with the existing conventional transportation system to reduce pressure on land transport and promote a sustainable system. This research was conducted in two phases each involving a distinct approach. The first one was a macroscopic approach to probe the potential of the water transport system in Rajshahi city. The required data on traffic volume, traffic growth rate, roads and existing waterbodies were collected, and GIS and Remote Sensing tools were used to find the scope of waterway transport around Rajshahi City. In the second approach, a detailed design was proposed for a potential circular waterway network in the city. Results indicate that there is a huge prospect for introducing a circular waterway transport system around Rajshahi city to create a place of fluid landscape and minimize the pressure on the existing land transportation system.

Preprint ARTICLE | doi:10.20944/preprints202309.0460.v1

Perceived Importance and Quality Attributes of Automated Parcel Lockers Services in Urban Areas

Maria Cieśla

Subject: Engineering, Transportation Science And Technology Keywords: automated deliveries; city parcel lockers; customer service quality; courier transport; Kano model; parcel lockers; quality features

Online: 7 September 2023 (13:30:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201907.0267.v1

Fusing Knowledge-Based and Data-Driven Techniques for the Identification of Urban Functional Regions

Emmanuel Papadakis, Song Gao, George Baryannis

Subject: Engineering, Transportation Science And Technology Keywords: functional region; place; patterns; topic modeling; urban planning; Volunteered Geographic Information (VGI)

Online: 24 July 2019 (08:42:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0548.v1

Urban Network Percolation and Traffic Dynamics: Causality Relationships in Numerical Experiments

Jorge Laval, Monica Menendez

Subject: Engineering, Transportation Science And Technology Keywords: Urban congestion, Traffic flow theory , Transportation, Phase transitions, Criticality, Percolation

Online: 20 April 2023 (05:07:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1916.v1

Fifteen-, Ten-, or Five Minutes City? Walkability to Services Assessment: Case of Dubai, UAE

Maram Ali, Tarig Ali, Rahul Gawai, Ahmed Elaksher

Subject: Engineering, Transportation Science And Technology Keywords: urban design; sustainability; sustainable development; Gated Community; walkability

Online: 29 August 2023 (03:36:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1898.v1

Optimization of the Subway Platform’s Passenger Flow Guidance Method Using Anylogic

Wenyu Yang, Huirong Wu

Subject: Engineering, Transportation Science And Technology Keywords: Urban Rail Transit; Passenger Flow Guidance; Anylogic Simulation; Standard Deviation of Balance

Online: 26 May 2023 (09:33:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0638.v1

A Hybrid Approach for Quantitative Analysis of Fire Hazards in Enclosed Vehicle Spaces on Ro-ro Passenger Ships

Junzhong Bao, Zhijie Bian, Bitong Li, Yan Li, Yuguang Gong

Subject: Engineering, Transportation Science And Technology Keywords: Risk analysis; Fire hazards; Bayesian network; Ro-ro spaces

Online: 8 June 2023 (10:58:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1401.v1

Providing a Comprehensive Traffic Safety Analysis Collected by Two LiDAR Sensors at a Signalized Intersection

Alireza Ansariyar

Subject: Engineering, Transportation Science And Technology Keywords: LiDAR sensor technology; signalized intersections; historical crash data; traffic safety; vulnerable road users

Online: 23 October 2023 (10:28:27 CEST)

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This study investigates the application of Light Detection and Ranging (LiDAR) sensor technology for data collection at signalized intersections characterized by a high rate of traffic crashes. The research aims to provide valuable insights into the potential of LiDAR-based data analysis to enhance road safety and traffic management at signalized intersections. The research methodology involved the deployment of LiDAR sensors at Marlboro Pike & Brooks Dr. signalized intersection in Coral Hills, Maryland. Two LiDAR sensors installed in this intersection to collect high-resolution, three-dimensional data of the intersection area from June, 1^st to July, 7^th 2023. The data included information on vehicle trajectories, speeds, and behaviors, as well as pedestrian and cyclist movement patterns. Concurrently, historical traffic crashes recorded and traffic flow data were obtained for the same intersection.The analysis of LiDAR data involved several key aspects including LiDAR data allowed for a precise evaluation of traffic flow patterns, including congestion points, traffic volume fluctuations, and peak-hour behavior. This information provided insights into potential factors contributing to crashes. By analyzing LiDAR data, the study identified near-miss incidents, which are often precursors to actual crashes. This proactive approach could assist in identifying crash-prone areas within the intersection. The LiDAR data analysis also focused on pedestrian and cyclist movements, including jaywalking and bike lane usage. The aim was to identify areas where infrastructure improvements could enhance safety for vulnerable road users. LiDAR data was compared with historical crash data to identify specific locations within the intersection that exhibited a high frequency of crashes. This information can guide targeted safety interventions. Last but not least, the study explored opportunities to optimize traffic signal timings based on real-time traffic data from LiDAR. Adaptive signal control could help mitigate congestion and reduce the risk of crashes.The results of this study demonstrated the potential of LiDAR sensor technology in collecting detailed data for traffic analysis in signalized intersections. By combining LiDAR data with historical crash records and traffic flow data, traffic engineers and urban planners can develop evidence-based strategies to reduce the frequency and severity of crashes in high-risk areas. Ultimately, this research contributes to a comprehensive understanding of how LiDAR technology can be employed to enhance road safety and traffic management, providing valuable insights for traffic engineers, urban planners, and policymakers seeking to improve the safety and efficiency of signalized intersections with a history of high traffic crashes.

Preprint ARTICLE | doi:10.20944/preprints202305.0248.v1

Overview Analysis of Recent Developments on Self-Driving Electric Vehicles

Qasim Ajao

Subject: Engineering, Transportation Science And Technology Keywords: Autonomous electric vehicle; Energy storage systems; battery management systems; braking systems

Online: 4 May 2023 (09:51:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0049.v1

Monitoring of Illegal Removal of Road Barricades Using Intelligent Transportation Systems

Frank Ngeni, Judith L. Mwakalonge, Gurcan Comert, Saidi Siuhi, Cuthbert Ruseruka

Subject: Engineering, Transportation Science And Technology Keywords: road barricades; illegal removal; ITS; GPS tracking; road assets; connected infrastructure

Online: 4 April 2023 (14:37:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0445.v1

Booking Public Charging: User Preferences and Behavior towards Public Charging Infrastructure with A Reservation Option

Michael Hardinghaus, John Erik Anderson, Claudia Nobis, Kerstin Stark, Galya Vladova

Subject: Engineering, Transportation Science And Technology Keywords: electric vehicles; public charging infrastructure; neighborhood charging; reservation system; urban; city; Hamburg

Online: 29 July 2022 (03:35:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0012.v1

Recognition of Intersection Traffic Regulations From Crowdsourced Data

Stefania Zourlidou, Monika Sester, Shaohan Hu

Subject: Engineering, Transportation Science And Technology Keywords: traffic-rules; traffic-regulations; crowdsourcing; GPS-trace; trajectories; classification; movement patterns; clustering; collective-behaviour; smart city

Online: 1 July 2022 (10:00:55 CEST)

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In this paper, a new method is proposed to detect traffic regulations at intersections using GPS traces. The knowledge of traffic rules of regulated locations can help various location-based applications in the context of Smart Cities, such as the accurate estimation of travel time and fuel consumption from a starting point to a destination. Traffic regulations as map features, however, are surprisingly still largely absent from maps, although they do affect traffic flow which in turn affects vehicle idling time at intersections, fuel consumption, CO_2 emissions and arrival time. In addition, mapping them using surveying equipment is costly and any update process has severe time constraints. This fact is precisely the motivation for this study. Therefore, its objective is to propose an automatic, fast, scalable and inexpensive way to identify the type of intersection control (e.g. traffic lights, stop signs). A new method based on summarizing the collective behavior of vehicles crossing intersections is proposed. A modification of a well-known clustering algorithm for detecting stopping and decelerating events is presented. These detected events are then used to categorize vehicle crossing of intersections into four possible traffic categories (p1: free flow, p2: deceleration without stopping events, p3: only one stopping event, p4: more than one stopping event). The percentages of crossings of each class per junction arm, together with other speed/stop/deceleration features, extracted from trajectories, are then used as features to classify the junction arms according to their traffic control type dynamic model). The classification results of the dynamic model are compared with those of the static model, where the classification features are extracted from OpenStreetMap. Finally, a hybrid model is also tested, where a combination of dynamic and static features is used, which outperforms the other two models. For each of the three models, two variants of the feature vector are tested: one where only features associated with a single junction arm are used (one-arm model) and another where features also from neighbouring junction arms of the same junction are used to classify an arm (all-arm model). The methodology was tested on three datasets and the results show that all-arm models perform better than single-arm models with an accuracy of 94\% to 97\%.

Preprint ARTICLE | doi:10.20944/preprints202206.0377.v2

Traffic Flow as a Simple Fluid: Towards a Scaling Theory of Urban Congestion

Jorge Laval

Subject: Engineering, Transportation Science And Technology Keywords: Urban congestion; Traffic flow theory; Phase transitions; KPZ universality class; Nonequilibrium physics

Online: 26 January 2023 (03:42:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.0193.v1

Social Interactions on Multi-Lane Motorways: Towards a Theory of Impacts

Wouter Schakel, Victor Knoop, Mehdi Keyvan-Ekbatani, Hans van Lint

Subject: Engineering, Transportation Science And Technology Keywords: driving strategy; social pressure; tailgating, lane changing; headway distribution; vehicle platoons

Online: 4 May 2023 (04:47:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0020.v1

Auxiliary Power Supply System Using Parallel-Connected DC-AC Inverter for Low-Floor Light Rail Vehicle

Paiwan Kerdtuad, Kunjana Chaiamarit, Supat Kittiratsatcha

Subject: Engineering, Transportation Science And Technology Keywords: auxiliary power supply system; low-floor light rail vehicle; dc train; parallel-connected dc-ac inverter; variable voltage variable frequency control

Online: 1 May 2023 (05:22:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0875.v1

Energy-efficient train driving based on optimal control theory

Wolfram Heineken, Marc Richter, Torsten Birth

Subject: Engineering, Transportation Science And Technology Keywords: energy-efficient train driving; regenerative braking; optimal control theory; Pontryagin maximum principle; Khmelnitsky’s algorithm

Online: 10 August 2023 (16:15:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1926.v1

A Methodology for Assessing Airport Terminal Capacity Based on Service Resource Equilibrium

Liming Zhang, Ze Yang, Qifeng Mou

Subject: Engineering, Transportation Science And Technology Keywords: Airport capacity management; Service resource allocation; Monte Carlo simulation; Mathematical modeling

Online: 27 June 2023 (14:28:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0709.v1

A Study on the Feasibility of LiFi in an Intra-Vehicular Data Transmission Application

Hongyu Guan, Manolo Dulva Hina

Subject: Engineering, Transportation Science And Technology Keywords: LiFi; Light Fidelity; wireless communication; intra-vehicular data transmission; VLC; intelligent transportation system; LED; optics

Online: 11 October 2023 (09:20:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1156.v1

Urban Logistics as a Service (ULaaS) Platform: Proposing a Sustainable Digital Business Model for Logistic Services

Reinaldo Fioravanti, Orlando Fontes Lima Jr, Giset Natalia Montoya Moreno, Janaina Antonino Pinto

Subject: Engineering, Transportation Science And Technology Keywords: Sharing Economy; Collaborative Digital Platform; Digital Business Model; Urban Logistics

Online: 17 November 2023 (12:36:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.0813.v1

Automatic Detection and Association Analysis of Multiple Surface Defects for Shield Subway Tunnel

Zi-Ren Yin, Zhanzhan Lei, Ao Zheng, Jiasong Zhu, Xiao-Zhou Liu

Subject: Engineering, Transportation Science And Technology Keywords: shield subway tunnel; surface defects; 3D laser scanning; defect association analysis

Online: 24 April 2023 (03:53:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0168.v1

Measures and Prescriptions to Reduce Stray Current in the Design of New Track Corridors

Katarina Vranešić, Sahil Bhagat, Andrea Mariscotti, Robert Vail

Subject: Engineering, Transportation Science And Technology Keywords: urban railway track; DC power system; stray current mitigation; corrosion; stray current

Online: 2 August 2023 (07:50:15 CEST)

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Preprint REVIEW | doi:10.20944/preprints202310.0413.v1

Enhancing Urban Air Mobility Integration in Cargo Transportation through Tiltrotor Technology

Saheed Adebimpe

Subject: Engineering, Transportation Science And Technology Keywords: Urban Air Mobility (UAM); Tiltrotor Technology; Cargo Logistics; Metropolitan Areas Aerial Vehicles; Vertical Takeoff And Landing (VTOL); Safety, Delivery Times; Autonomous Aerial Cargo Delivery

Online: 8 October 2023 (02:17:14 CEST)

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Preprint REVIEW | doi:10.20944/preprints202311.0665.v1

Vehicle Relocation in One-Way Carsharing: A Review

Afnan Fayez Eliyan, Laoucine Kerbache

Subject: Engineering, Transportation Science And Technology Keywords: Carsharing; Vehicle balancing; Resource dimensioning; Fleet management; Trip pricing

Online: 9 November 2023 (16:44:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1769.v1

Severity Predictions for Intercity Bus Crashes on Highway using a Random Parameter Ordered Probit Model

Kanghyun Kim, Jungyeol Hong

Subject: Engineering, Transportation Science And Technology Keywords: intercity bus; accident; severity; probability model; random parameter; ordered logit; heterogeneity

Online: 25 May 2023 (08:52:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0831.v1

Multimodal Traveling with Rail and Ride-sharing: Lessons Learned during Planning and Demonstrating a Pilot Study

Lambros Mitropoulos, Annie Kortsari, Emy Apostolopoulou, Georgia Ayfantopoulou, Alexandros Deloukas

Subject: Engineering, Transportation Science And Technology Keywords: multimodal traveling; ride-sharing; rail; pilot planning; pilot implementation

Online: 13 July 2023 (02:52:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0815.v1

How Human Alike Connected Autonomous Vehicles Affect Traffic Conditions in Urban Environment?

Yousuf Dinar, Moeid Qurashi, Panagiotis Papantoniou, Constantinos Antoniou

Subject: Engineering, Transportation Science And Technology Keywords: Autonomous vehicle; CAVs; Sensitivity Analysis

Online: 13 July 2023 (02:22:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1278.v1

An Evolutionary Game Analysis of Shared Private Charging Piles Behavior in Low-Carbon Urban Traffic

Lequn Zhu, Ran Zhou, Xiaojun Li, Linlin Zhang

Subject: Engineering, Transportation Science And Technology Keywords: shared private charging pile; low-carbon urban transport; evolutionary game; policy making

Online: 18 May 2023 (05:31:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2081.v1

H–H Configuration of Modular EV Powertrain System Based on the Dual Three-Phase BLDC Motor and Battery-Supercapacitor Power Supply System

Ihor Shchur, Valentyn Turkovskyi

Subject: Engineering, Transportation Science And Technology Keywords: electric vehicle; modular approach; powertrain system; dual-three phase BLDC motor; battery; supercapacitor; hybrid energy storage system (HESS); energy management system (EMS)

Online: 30 May 2023 (08:16:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1466.v1

MaaS-Motivated Synergetic Design of Intelligent Mobility Service Supply Chain Network towards Seamless Traveling and Integrated Multimodal Journey Planning

Jiamin Zhang

Subject: Engineering, Transportation Science And Technology Keywords: Mobility as a Service (MaaS); intelligent mobility service supply chain network; hybrid synergy mechanism; urban rail transit (URT); Mobility-On-Demand (MOD) transport service; integrated multimodal journey planning

Online: 23 November 2023 (09:38:44 CET)

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Smart, reliable, and connected multi-modal mobility has been a long-standing goal of transit services. This paper focuses on the smart, seamless, and multi-modal mobility service in the context of “Mobility as a Service” (MaaS). Intelligent mobility is the smarter, greener, and more efficient movement of passengers around the world. Increasingly, mobility is approached as a service. This study first conducts an extensive literature review on mobility behavior and demand pattern of MaaS end-users. It then extends the mechanism of supply chain, MaaS, synergy (i.e., vertical cooperation synergy, horizontal competition synergy), and coopetition to develop the multi-tier closed-loop intelligent mobility service supply chain network. This paper explains the intelligent mobility service supply chain network from following perspectives: (i) mobility service taxonomy of MaaS; (ii) aims of intelligent mobility service supply chain network; (iii) urban rail transit (URT)-centered alternatives for integrated multimodal journey planning, i.e. access + URT + egress, and both access and egress can be served by Mobility-On-Demand (MOD) transport; (iv) node member imperatives. From a synthesis of insights from the ‘during’ journey, this study puts forward the synergetic design of intelligent mobility service supply chain network, including: (i) multi-tier closed-loop structure; (ii) key nodes identification for the physical multimodal transport network in the supply chain; (iii) hybrid synergy mechanisms among the partners, i.e., synergy principle, temporal splitting approach for coopetition synergy; (iv) index systems and evaluation methods for synergy measurement. This study also contributes to the integrated multimodal journey planning. In concluding, the paper highlights the important implications of the proposed intelligent mobility service supply chain network for MaaS bundle design and adverse effects reduction, resulting from 1 + 1 > 2 synergy effects.

Preprint ARTICLE | doi:10.20944/preprints202306.0759.v1

An Empirical Investigation: Does the New Airport Infrastructure Affect the Improvement of Customer Experience?

Karmela Boc, Igor Štimac, Jelena Pivac, Matija Bračić

Subject: Engineering, Transportation Science And Technology Keywords: airport infrastructure; passenger terminal; customer experience; passenger satisfaction; passenger expectations; passenger operations; commercial facilities; wow effect

Online: 12 June 2023 (04:48:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2219.v1

Determination of Safety-oriented Pavement Friction Performance Ratings at Network Level Using a Hybrid Clustering Algorithm

Jieyi Bao, Yi Jiang, Shuo Li

Subject: Engineering, Transportation Science And Technology Keywords: pavement friction rating; network level; road safety attributes; hybrid clustering; density-based spatial clustering of applications with noise (DBSCAN); Gaussian mixture model (GMM); Chi-square test

Online: 31 May 2023 (10:38:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1125.v1

Influence of Sensor Position for Measurement of Lateral Acceleration of Delivery Van

Juraj Jagelcak, Jaroslava Kubanova

Subject: Engineering, Transportation Science And Technology Keywords: acceleration; cargo securing; MEMS accelerometer; ground vehicle safety; road safety; sensors for vehicle movement; vehicle dynamics

Online: 18 October 2023 (09:44:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1991.v1

Impact of Converting On-Street Parking Lots to Bus-Only Lanes on Traffic Efficiency and Emissions in the Age of Autonomous Vehicles

Ling Zhou, Xiaofei Ye

Subject: Engineering, Transportation Science And Technology Keywords: Autonomous driving technology, Bus lane, On-Street parking conversion application, VISSIM simulation, Traffic design optimization

Online: 29 May 2023 (07:42:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2114.v1

Application and Efficiency of the Usage of a Series-Hybrid Drive in Agriculture Based on the Modified WHTC

Ugnė Koletė Medževeprytė, Rolandas Makaras, Vaidas Lukoševičius, Sigitas Kilikevičius

Subject: Engineering, Transportation Science And Technology Keywords: series hybrid; off-road; heavy duty; WHTC; hybrid; tractor, hybrid drive cycle.

Online: 29 June 2023 (11:20:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1565.v1

CMARL: A Multi-agent Deep Reinforcement Learning Model with Emphasis on Communication Content

Ande Chang, Yuting Ji, Chunguang Wang, Yiming Bie

Subject: Engineering, Transportation Science And Technology Keywords: adaptive traffic signal control; deep reinforcement learning; multi-agent reinforcement learning; communication; traffic congestion)

Online: 22 January 2024 (07:54:13 CET)

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Preprint REVIEW | doi:10.20944/preprints202311.1706.v1

A Literature Review on Charging Behaviour of Private Electric Vehicles

Natascia Andrenacci, Maria Pia Valentini

Subject: Engineering, Transportation Science And Technology Keywords: electric vehicles; charging behavior; private electric mobility.

Online: 27 November 2023 (13:21:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0562.v1

Road Descriptors for Fast Global localization on Rural Roads using OpenStreetMaps

Stephen Ninan, Sivakumar Rathinam

Subject: Engineering, Transportation Science And Technology Keywords: OpenStreetMaps; localization; particle filter; road segmentation; descriptors

Online: 8 August 2023 (05:15:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0997.v1

Towards a Sustainable and Safe Future: Mapping Bike Accidents in Urbanized Context

Ahmed Jaber, Bálint Csonka

Subject: Engineering, Transportation Science And Technology Keywords: micro-mobility; bike crashes; spatial analysis; accidents; safety; cycling

Online: 14 July 2023 (08:54:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1280.v1

Zero-Emission Truck Powertrains for Regional and Long-Haul Missions

Mikko Pihlatie, Mikaela Ranta, Pekka Rahkola, Rafael Åman

Subject: Engineering, Transportation Science And Technology Keywords: electric vehicle; battery; fuel cell; charging

Online: 17 August 2023 (11:54:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1316.v1

An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization

Abbas Seifi, Kumaraswamy Ponnambalam, Anna Kudiakova, Lisa Aultman-Hall

Subject: Engineering, Transportation Science And Technology Keywords: flight scheduling; airport congestion; flight delays; schedule optimization; simulation of arrival and departure processes; runway capacity

Online: 22 February 2024 (13:25:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0949.v1

Applying Data Analytics to Analyze Activity Sequences to Assess Fragmentation in Daily Travel Patterns—A Case Study in the Metropolitan Region of Barcelona

Lídia Montero, Lucia Mejia-Dorantes, Jaume Barceló

Subject: Engineering, Transportation Science And Technology Keywords: Travel behavior; sequence analysis; gender; equity; classification analysis; spatial analysis; synthetic populations

Online: 14 August 2023 (08:55:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0993.v1

Simulation Study of The Dump Trucks' Speed Profile Impact on Open Pit Efficiency

Aleksandr Rakhmangulov, Andrey Artiushin

Subject: Engineering, Transportation Science And Technology Keywords: open pit; excavator-and-dump truck complex; speed profile; road grade; simulation; AnyLogic

Online: 14 December 2023 (05:45:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.2004.v1

Impact of Port Clearance on shipping Safety, Energy Consumption and Green Ports Sustainability

Vytautas Paulauskas, Viktoras Senčila, Donatas Paulauskas, Martynas Simutis

Subject: Engineering, Transportation Science And Technology Keywords: maritime safety; energy efficiency; green and sustainable port; ships safety; environmental impact; emissions

Online: 28 September 2023 (11:02:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0220.v1

How Human Alike Connected Autonomous Vehicles Affect Traffic Conditions in Urban Environment?

Yousuf Dinar, Moeid Qurashi, Panagiotis Papantoniou, Constantinos Antoniou

Subject: Engineering, Transportation Science And Technology Keywords: autonomous vehicle; Connected autonomous vehicle; traffic performance; sensitivity analysis

Online: 5 September 2023 (05:32:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0737.v1

Unraveling Spatial-Temporal Patterns and Heterogeneity of Merging Behavior: Evidence from the exiD Dataset

Yiqi Wang, Yang Li, Ruijie Li, Shubo Wu, Linbo Li

Subject: Engineering, Transportation Science And Technology Keywords: Merging patterns; Driving heterogeneity; HD map

Online: 10 January 2024 (04:28:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0942.v1

Multi-Criteria System's Design Methodology for Selecting Open Pits Dump Trucks

Aleksandr Rakhmangulov, Konstantin Burmistrov, Nikita Osintsev

Subject: Engineering, Transportation Science And Technology Keywords: open pit; dump track; multi-criteria system; MCDM; FUCOM

Online: 13 December 2023 (10:53:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0289.v1

Defect Recognition in Ballastless Track Structures Based on Distributed Acoustic Sensors

He Meng, Wang Qing, Jiantao Qu

Subject: Engineering, Transportation Science And Technology Keywords: DAS; ballastless track; defects recognition; XGBoost; ResNet

Online: 3 August 2023 (10:47:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1308.v1

Influence of Blind Spot Assistance Systems in Heavy Commercial Vehicles on Accident Reconstruction

Thomas König, Daniel Paula, Hans-Georg Schweiger, Stefan Quaschner

Subject: Engineering, Transportation Science And Technology Keywords: accident analysis; accident reconstruction; road safety; vehicle active safety

Online: 21 November 2023 (09:59:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0836.v1

Modeling the Interaction of the Rolling Stock and the Track in the Emergency Braking Mode of a Passenger Train

Vladimir Solonenko, Janat Musayev, Seitbek Zhunisbekov, Algazy Zhauyt, Batyrkhan Kyrykbayev, Gulbarshyn Smailova, Ulbala Murzakhmetova, Saltanat Yussupova

Subject: Engineering, Transportation Science And Technology Keywords: wagon; passenger train; emergency braking; modeling; analysis; recommendations

Online: 13 September 2023 (09:58:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1038.v1

Automobiles’ Acceleration Analysis When Crossing Road Intersections

Federico Scattolin, Alfonso Micucci

Subject: Engineering, Transportation Science And Technology Keywords: Car Acceleration; Traffic Accidents; Road Design; CAV Software Development

Online: 16 November 2023 (11:12:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0483.v1

Theory and Practice of Determining the Dynamic Performance of Traction Rolling Stock

Janat Musayev, Algazy Zhauyt, Sarakul Ismagulov, Saltanat Yusupova

Subject: Engineering, Transportation Science And Technology Keywords: locomotive; railway track; wheelset; dynamic characteristics; dynamic coefficient; analysis.

Online: 7 September 2023 (04:24:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1974.v1

A Driving Anomaly Detection Model Using BSMs

Di Wu, Shuang Z. Tu, Robert W. Whalin, Li Zhang

Subject: Engineering, Transportation Science And Technology Keywords: driving status; anomaly; outlier detection; BSM; crash; CV; cloud

Online: 28 June 2023 (10:05:22 CEST)

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Preprint REVIEW | doi:10.20944/preprints202311.1417.v1

Advanced Driver Information System at Critical Points of the Multimodal Traffic Network

Maja Tonec Vrančić, Pero Škorput, Krešimir Vidović

Subject: Engineering, Transportation Science And Technology Keywords: urban mobility; traffic safety; cooperative intelligent transport systems; traffic control

Online: 22 November 2023 (11:31:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0292.v1

Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication

Sukru Yaren Gelbal, Bilin Aksun-Guvenc, Levent Guvenc

Subject: Engineering, Transportation Science And Technology Keywords: vulnerable road user safety; vehicle-to-VRU communication; pedestrian collision warning

Online: 6 December 2023 (02:44:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1391.v1

An Automated Method for Extracting and Analyzing Railway Infrastructure Cost Data

Daniel Adanza Dopazo, Lamine Mahdjoubi, Bill Gething

Subject: Engineering, Transportation Science And Technology Keywords: data extraction; data mining; railway infrastructure costs; infrastructure costs data analysis; cost analysis

Online: 18 August 2023 (16:03:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1237.v1

A Method to Enable Automatic Extraction of Cost and Quantity Data from Hierarchical Construction Information Documents to Enable Rapid Digital Comparison and Analysis

Daniel Adanza Dopazo, Lamine Mahdjoubi, Bill Gething

Subject: Engineering, Transportation Science And Technology Keywords: data mining; data extraction; data science; cost infrastructure projects

Online: 17 August 2023 (09:25:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1431.v1

Real-Time Traffic Control and Safety Measures Analysis Using LiDAR Sensor during Traffic Signal Failures

Alireza Ansariyar

Subject: Engineering, Transportation Science And Technology Keywords: LiDAR sensor technology; signalized intersections; traffic signal failure; traffic safety; congestion; environmental pollution

Online: 23 October 2023 (10:20:28 CEST)

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Traffic congestion is a persistent and challenging problem in urban areas, leading to increased travel times, fuel consumption, and environmental pollution. Signalized intersections play a pivotal role in regulating traffic flow, and their efficiency has a direct impact on the overall traffic performance of a city. This study investigates the effect of traffic signal in managing traffic volume and reducing congestion and delays at signalized intersections through a comprehensive analysis of existing research, data collection, and simulations.The research begins by analyzing the traffic characteristics by an installed LiDAR sensor at E Cold Spring Ln – Hillen Rd intersection in Baltimore City, MD. When the signal at this intersection stopped working for some hours during a working day in September 2023, the LiDAR recorded vehicle and pedestrian counts, vehicle-vehicle and vehicle-pedestrian conflicts, and jaywalking events conflicts. The research aims to assess the impact of traffic signal failures on traffic flow, congestion, safety (V2V and V2P conflicts), and the frequency of jaywalking events before, during, and after improper performance of the traffic signal. Furthermore, this study explores the factors influencing traffic signal performance, including traffic demand, geometric layout, pedestrian interactions, and the integration of emerging technologies. The analysis results highlighted the importance of signal control systems existence at this intersection that can adjust signal timing in response to changing the real-time traffic conditions.Reduced congestion, minimized delays, and enhanced traffic flow are observed outcomes, contributing to a more sustainable and efficient urban transportation system. However, it is crucial to consider the trade-offs and challenges associated with traffic signal optimization, such as the potential for increased travel times for certain modes of transportation and the need for ongoing maintenance and updates. In conclusion, this study underscores the pivotal role of traffic signals in managing traffic volume and reducing congestion and delays at signalized intersections. Through evidence-based analysis and innovative signal control strategies, urban planners and transportation authorities can work towards creating more efficient, sustainable, and less congested transportation networks. The insights derived from this research can inform policy decisions and guide the development of future traffic management solutions, ultimately leading to improved quality of life in urban areas.

Preprint ARTICLE | doi:10.20944/preprints202312.1330.v1

A Study on Micro-Mobility Data Collection System Using Incremental Learning Techniques

Eunkyu Lee, Taeseong Kim, Junaid Khan, Umar Zaman, Jaebin Ku, Kyungsup Kim

Subject: Engineering, Transportation Science And Technology Keywords: incremental learning; micro-mobility; data collection system; AI-based services; Broad Learning System algorithm

Online: 18 December 2023 (12:21:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1435.v1

Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios

Mohammed Bendahmane, Lluís Ribas-Xirgo

Subject: Engineering, Transportation Science And Technology Keywords: autonomous vehicles; drivers’ distraction; simulated driving

Online: 19 January 2024 (02:55:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.0146.v1

Investigation of Following Vehicle Driving Pattern using Spectral Analysis Techniques

Chandle Chae, Yongho Kim

Subject: Engineering, Transportation Science And Technology Keywords: sustainable traffic management; autonomous vehicle; driving behavior; car-following; spectral analysis

Online: 2 June 2023 (07:17:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0080.v1

Study on Community Detection Method for Morning and Evening Peak Shared Bicycle Trips in Urban Areas: A Case Study of Six Districts in Beijing

Yao Sun, Zheng Wen, Dongwei Tian, Man Zhang, Yue Hou

Subject: Engineering, Transportation Science And Technology Keywords: spatial interaction network; community partitioning; bike-sharing; urban mobility; Walktrap method

Online: 1 September 2023 (12:52:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1481.v1

A Dynamic Network Loading Model for Hub Station Pedestrian Flow Collection and Distribution

Weihao Zheng, Rui-fang Mou

Subject: Engineering, Transportation Science And Technology Keywords: Macroscopic Pedestrian Flow Model; Passenger Collection and Distribution; Dynamic network loading model; Optimal control theory

Online: 21 July 2023 (08:46:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0892.v1

Tourism Itinerary Recommendation using Vehicle Routing Problem Time Windows Based on Shortest Path Method and Analytics Hierarchy Process

Surya Michrandi Nasution, Reza Rendian Septiawan, Fairuz Azmi

Subject: Engineering, Transportation Science And Technology Keywords: tourism itinerary; vehicle routing problem time windows; route recommendation; shortest path algorithm; analytics hierarchy process

Online: 12 December 2023 (12:49:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1441.v1

Roundabout Trajectory Planning: Integrating Human Driving Models for Autonomous Vehicles

Salvatore Leonardi, Natalia Distefano

Subject: Engineering, Transportation Science And Technology Keywords: Autonomous vehicles; Human driving models; Roundabouts; Speed profiles; Traffic-free planning

Online: 24 October 2023 (07:55:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1308.v1

Dynamic Right-of-Way Allocation on Bus Priority Lane considering Traffic System Resilience

Jia Hu, Zhexi Lian, Xiaoxue Sun, Zhen Zhang, Jintao Lai

Subject: Engineering, Transportation Science And Technology Keywords: Bus priority lane; Dynamic right-of-way allocation; Traffic system resilience

Online: 18 January 2024 (03:22:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0547.v1

Application of Computational Contact tools of Finite Element Analysis to Predict Ground‐Borne Vibrations Generated by Trains in Ballasted Tracks

Andrés García Moreno, Antonio Alonso López, Ignacio J. Turias, Juan Jesús Ruiz Aguilar

Subject: Engineering, Transportation Science And Technology Keywords: HSR; railway; ground‐borne vibrations; vibrational‐emissions; prediction; FEM; numerical modelling; computational contacts

Online: 9 February 2024 (10:54:22 CET)

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Predictive numerical models in the study of ground-borne vibrations generated by railway sys-tems have traditionally relied on the segmented approach of subsystems. In this approach, loads are individually applied, and the cumulative effect of rolling stock is obtained through superposi-tion. While this method serves to mitigate computational costs, it may not fully capture the com-plex interactions involved in ground-borne vibrations. Recent advancements in computational and software tools have enabled the development of more sophisticated vibrational pollution models. These advanced models encompass the entire dynamic system, from the rolling stock to the terrain, allowing for continuous simulations with a defined time step. Furthermore, the incorporation of computational contact tools between various ele-ments not only ensures temporal accuracy but also extends the analysis to the frequency domain. This paper explores the evolution of predictive numerical models in the context of ground-borne vibrations generated by trains on ballasted tracks. It highlights the shift from segmented models to continuous simulations, demonstrating the progressive advancement towards more comprehen-sive and accurate representations of railway-induced and generated vibrations in the track sur-roundings as an additional way of evaluate sustainability of infrastructures. In particular, this development of a numerical model from its inception aimed to expand upon ex-isting emission - prediction models by enriching the data with frequency-domain information. This approach has been driven by the aspiration to bridge the gap between numerical predictions and measured signals, striving for a higher level of accuracy in our obtained results. This model can predict the impact of a high-speed rail (HSR) vehicle passing on its own track. It possesses sufficient information in both the time and frequency domains to precisely characterize vibrations. This initiative marks a pivotal advancement, enabling us to more effectively capture the intricacies of ground-borne vibrations and their impact on the surrounding environment due to a deeper comprehension of the occurrences in the frequency domain, there's a heightened ca-pability to accurately characterize vibrations.

Preprint ARTICLE | doi:10.20944/preprints202309.1341.v3

Improving Autonomous Vehicle Reasoning with Non-Monotonic Logic: Advancing Safety and Performance in Complex Environments

Jamal Raiyn, Galia Weidl

Subject: Engineering, Transportation Science And Technology Keywords: car–following; non-monotonic logic; reasoning; naturalistic driving studies; safetycritical events; cognitive vehicles

Online: 22 September 2023 (05:30:08 CEST)

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The software design of autonomous vehicles (AVs) incorporates artificial intelligence (AI) characteristics to enhance their safety and overall driving performance. Central to vehicle’s operation is the ability to reason effectively in complex and uncertain environments. However, traditional logical systems, such as monotonic logic, often struggle to handle the inherent uncertainties and exceptions encountered in real-world scenarios. This paper proposes the utilization of non-monotonic logic in order to enhance the reasoning capabilities of autonomous vehicles. By incorporating non-monotonic reasoning, vehicles can navigate intricate traffic scenarios, make plausible inferences, and adapt their decisions when faced with conflicting information. This research aims to provide a comprehensive review of non-monotonic logic's application in autonomous vehicles, highlighting its advantages over traditional logical systems and its potential impact on safety and performance. Additionally, through this research, we seek to contribute to the advancement of autonomous driving technology by enhancing the reasoning capabilities of vehicles in various scenarios, such as car- following related to critical safety events. The personalized cognitive agent is proposed in driving behavior to consider particularly in their assumptions of homogeneous drivers. The personalized cognitive agent is incorporating heterogeneous driving behaviors, based on individual user preferences, characteristics, and needs. Driving behavior is a complex interplay of various factors, encompassing both human and external elements. Human factors, including age, experience, and gender, contribute significantly to how individuals navigate the roads. These factors influence decisions, reactions, and risk-taking tendencies on the part of drivers. Additionally, external factors such as weather conditions further compound this intricate dynamic, requiring drivers to adapt their behavior to the prevailing environment. The goal of a personalized cognitive agent is to provide tailored and customized experiences to cognitive vehicles, taking into account the unique requirements and individual preferences of occupants inside autonomous vehicles.

Preprint ARTICLE | doi:10.20944/preprints202310.1601.v1

A Frontier Approach to Eco-Efficiency Assessment in the World’s Busiest Sea Ports

Muhammet Enis Bulak

Subject: Engineering, Transportation Science And Technology Keywords: ecoefficiency; maritime economy; sustainable development goals; frontier approach; maritime trasnportation

Online: 25 October 2023 (08:35:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1434.v1

Research on Rutting Equalization Control of Asphalt Pavement under Different Working Conditions

Yaolu Luo, Xuancang Wang, Aqing Jiang, Meng Li, Liping Song

Subject: Engineering, Transportation Science And Technology Keywords: Finite element model; Condition grading; modification effect; rational matching; rutting equalization control

Online: 21 August 2023 (08:00:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1451.v1

Autonomous Vehicle Decision Making with Policy Prediction for Handling a Round Intersection

Xinchen Li, Levent Guvenc, Bilin Aksun-Guvenc

Subject: Engineering, Transportation Science And Technology Keywords: autonomous driving in round intersection; Partially Observable Markov Decision Process; Object Oriented Partially Observable Markov Decision Process; Partially Observable Monte-Carlo Planning

Online: 24 October 2023 (02:19:50 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202309.1512.v1

Analysis of the Usefulness of Cheap Audio Recorders for Spectral Measurement of Environmental Noise

Jacek Dominik Skibicki, Roksana Licow, Natalia Karosińska-Brzozowska, Karol Daliga, Piotr Chrostowski, Andrzej Wilk, Krzysztof Karwowski, Marek Szafrański, Tadeusz Widerski, Leszek Jarzebowicz, Slawomir Judek, Michał Michna, Sławomir Grulkowski, Julia Omilianowicz

Subject: Engineering, Transportation Science And Technology Keywords: environmental noise measurement; spectral analysis; sound measurement devices; railway transport

Online: 22 September 2023 (11:16:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1071.v1

Future Cities Carbon Emission Models: Hybrid Vehicle Emission Modelling for Low-Emission Zones

Maksymilian Mądziel

Subject: Engineering, Transportation Science And Technology Keywords: vehicles; emission modelling; traffic simulation; air pollution; future cities; neural network

Online: 18 September 2023 (02:34:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0284.v1

Pavement Crack Detection of UAV Autonomous Inspection System for Mountainous Roads

Chen Xinbao, Wang Chenxi, Liu Chang, Xiaodong Zhu, Zhang Yaohui, Luo Tianxiang, Zhang Junhao

Subject: Engineering, Transportation Science And Technology Keywords: Concrete crack detection; UAV inspection system; YOLOv8; mountainous road

Online: 5 March 2024 (16:07:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1693.v1

A Novel Virtual Arrival Optimization Method for Traffic Organization Scenarios

Tianhao Shao, Weijie Du, Yun Ye, Haoqing Li, Jingxin Dong, Guiyun Liu, Pengjun Zheng

Subject: Engineering, Transportation Science And Technology Keywords: Virtual Arrival, traffic organization, carbon emission reduction, waiting time, multi-objective optimization

Online: 27 November 2023 (09:29:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0953.v1

Analyzing Vehicle-Vehicle and Vehicle-Pedestrian Conflicts at Signalized Intersections: Exploring the Influence of Vehicle Angle on Conflict Severity Through LiDAR Sensor During Traffic Signal Failures

Alireza Ansariyar

Subject: Engineering, Transportation Science And Technology Keywords: LiDAR Sensor; Signalized Intersections; Traffic Signal Failure; Safety; Conflict’ s Angle; Conflict’ s Frequency and Severity

Online: 14 November 2023 (16:00:09 CET)

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This study explores the intricate relationship between the angle of vehicle-to-vehicle (V2V) conflicts and the severity of conflicts at signalized intersections during traffic signal failures, leveraging the advanced capabilities of LiDAR sensor technology. The research delves into the impact of conflict angles on collision outcomes and introduces LiDAR as a novel and precise tool for capturing spatial dynamics during unregulated traffic movements. Findings reveal that as the angle of V2V conflicts increases, indicating a wider approach between vehicles, the severity of conflicts tends to decrease. This reduction in severity is attributed to the detailed spatial data provided by LiDAR, enabling the identification of glancing impacts rather than direct head-on collisions. The mitigation of forces involved in collisions at increased angles contributes to a decreased likelihood of severe consequences, such as extensive vehicle damage and serious injuries to occupants.Conversely, as the angle of V2V conflicts decreases, signifying a narrower approach between vehicles, the potential for severe collisions tends to increase. LiDAR technology facilitates precise measurements of spatial coordinates and temporal dynamics, revealing that collisions occurring at smaller angles involve more direct and concentrated impact forces. This heightened risk of extensive damage to vehicles and increased injury severity is crucially captured by LiDAR, providing valuable insights into the relationship between conflict angles and collision outcomes during traffic signal failures. This study underscores the efficacy of LiDAR sensor technology in understanding the nuanced dynamics of V2V conflicts and highlights its role in developing targeted safety interventions. The integration of LiDAR data into traffic safety analyses offers a sophisticated approach to mitigating the impact of conflicts and enhancing overall safety at signalized intersections during signal failures. The research also highlighted that as the angle of V2P conflicts widens, PET experiences a proportional increase. A larger conflict angle signifies a more complex interaction between vehicles and pedestrians, leading to prolonged PET values. Conversely, a decrease in the angle of V2P conflicts is associated with a reduction in PET during traffic signal failures.The study commences with an examination of traffic characteristics at the E Cold Spring Ln – Hillen Rd intersection in Baltimore City, MD, utilizing a deployed LiDAR sensor. When the signal at this intersection experienced a temporary malfunction on a regular working day in September 2023, the LiDAR captured data related to vehicle and pedestrian volumes, as well as V2V and V2P conflicts. The primary objective of the research is to evaluate the repercussions of traffic signal failures on both traffic flow and safety, specifically V2V and V2P conflicts, occurring during periods of improper signal functionality. Additionally, this investigation delves into various factors that impact traffic signal performance, encompassing traffic demand, geometric layout, pedestrian interactions, and the incorporation of emerging technologies.

Preprint ARTICLE | doi:10.20944/preprints202403.1028.v1

An Energy-Efficient Logistic Drone Routing Method considering Dynamic Drone Speed and Payload

Kunpeng Wu, Shaofeng Lu, Haoqin Chen, Minling Feng, Zenghao Lu

Subject: Engineering, Transportation Science And Technology Keywords: Drone routing problem; Logistics drone; Mixed-integer linear programming; Adaptive large neighborhood search

Online: 18 March 2024 (11:39:14 CET)

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