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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/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/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/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/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/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/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/preprints202305.0248.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/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/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/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 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 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:10.20944/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/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/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/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/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.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/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/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/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 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/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 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:10.3390/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/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/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/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/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/preprints201807.0385.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/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/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.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 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/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/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/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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