Version 1
: Received: 21 October 2023 / Approved: 23 October 2023 / Online: 23 October 2023 (10:21:44 CEST)
How to cite:
Ansariyar, A. Enhancing Intersection Efficiency through Smart Green Time Allocation at a Signalized Intersection Equipped with Two LiDAR Sensors. Preprints2023, 2023101408. https://doi.org/10.20944/preprints202310.1408.v1
Ansariyar, A. Enhancing Intersection Efficiency through Smart Green Time Allocation at a Signalized Intersection Equipped with Two LiDAR Sensors. Preprints 2023, 2023101408. https://doi.org/10.20944/preprints202310.1408.v1
Ansariyar, A. Enhancing Intersection Efficiency through Smart Green Time Allocation at a Signalized Intersection Equipped with Two LiDAR Sensors. Preprints2023, 2023101408. https://doi.org/10.20944/preprints202310.1408.v1
APA Style
Ansariyar, A. (2023). Enhancing Intersection Efficiency through Smart Green Time Allocation at a Signalized Intersection Equipped with Two LiDAR Sensors. Preprints. https://doi.org/10.20944/preprints202310.1408.v1
Chicago/Turabian Style
Ansariyar, A. 2023 "Enhancing Intersection Efficiency through Smart Green Time Allocation at a Signalized Intersection Equipped with Two LiDAR Sensors" Preprints. https://doi.org/10.20944/preprints202310.1408.v1
Abstract
Traffic signal control plays a key role in managing urban traffic flow, enhancing safety, and minimizing congestion and conflicts. Effective green time allocation is a critical element of this control process. This research explores the utilization of LiDAR sensor technology in the optimization of green time allocation for one phase of a traffic signal at a signalized intersection. LiDAR sensors provide precise and real-time data on vehicle presence and traffic patterns, enabling a data-driven approach to traffic signal control. The study begins with an analysis of the limitations of traditional traffic signal control strategies, which often rely on fixed-time plans or rudimentary vehicle detection systems. These approaches can lead to suboptimal green time allocation, resulting in inefficient traffic management and increased vehicle delays.The integration of LiDAR sensors provides detailed information on vehicle queues, arrival rates, and vehicle types. The research presents a practical framework for green time allocation optimization, considering factors such as intersection geometry, traffic volumes, and signal coordination. An intelligent control algorithm was developed that uses LiDAR data to determine the optimal green time for a specific phase, thereby reducing unnecessary waiting times and enhancing intersection efficiency. The effectiveness of the proposed LiDAR-based green time allocation strategy is demonstrated through extensive field tests. The results indicate significant improvements in intersection throughput, reduced delays, and enhanced traffic safety. In conclusion, this research highlights the transformative potential of LiDAR sensor technology in traffic signal control, specifically in the context of optimizing green time allocation. The findings support the notion that adaptive and data-driven strategies, when integrated with LiDAR sensors, can contribute to more efficient, sustainable, and safe urban traffic management. This research aims to provide valuable insights for transportation engineers, policymakers, and researchers seeking innovative solutions for modern urban traffic control.
Keywords
LiDAR sensor technology; signalized intersections; green time allocation; delay time; vehicle volume
Subject
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.
