Version 1
: Received: 21 October 2023 / Approved: 23 October 2023 / Online: 23 October 2023 (10:20:28 CEST)
How to cite:
Ansariyar, A. Real-Time Traffic Control and Safety Measures Analysis Using LiDAR Sensor during Traffic Signal Failures. Preprints2023, 2023101431. https://doi.org/10.20944/preprints202310.1431.v1
Ansariyar, A. Real-Time Traffic Control and Safety Measures Analysis Using LiDAR Sensor during Traffic Signal Failures. Preprints 2023, 2023101431. https://doi.org/10.20944/preprints202310.1431.v1
Ansariyar, A. Real-Time Traffic Control and Safety Measures Analysis Using LiDAR Sensor during Traffic Signal Failures. Preprints2023, 2023101431. https://doi.org/10.20944/preprints202310.1431.v1
APA Style
Ansariyar, A. (2023). Real-Time Traffic Control and Safety Measures Analysis Using LiDAR Sensor during Traffic Signal Failures. Preprints. https://doi.org/10.20944/preprints202310.1431.v1
Chicago/Turabian Style
Ansariyar, A. 2023 "Real-Time Traffic Control and Safety Measures Analysis Using LiDAR Sensor during Traffic Signal Failures" Preprints. https://doi.org/10.20944/preprints202310.1431.v1
Abstract
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.
Engineering, Transportation Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
