Paper
5 June 2024 Optimization strategy of signal timing at level crossing based on real-time queue length
Author Affiliations +
Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131635R (2024) https://doi.org/10.1117/12.3030130
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China
Abstract
With the rapid development of China’s economy, the number of motor vehicles continues to increase, and the phenomenon of road congestion is becoming increasingly serious. Compared with widening the road surface and adding lanes, it is more feasible to optimize the crossing signal timing scheme. Based on the real-time queue length at the intersection, this study dynamically adjusts the signal timing scheme to overcome the rigidity of the traditional fixed timing scheme with the intersection of Fengxi Avenue and Siyuan Huannan Road in Chang’an District of Xi 'an as an example. The traditional scheme and the optimized scheme are jointly simulated by VISSIM and MATLAB respectively, and the simulation results of the two schemes are compared and analyzed. The results show that the average queue length, average delay time and average stop time of the optimized scheme are significantly lower than those of the traditional scheme, which proves that this method can effectively improve the traffic efficiency of intersections and alleviate traffic congestion.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jieqiong Sun, Jianxiong Shao, Gengyang Song, and Haibo Xu "Optimization strategy of signal timing at level crossing based on real-time queue length", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131635R (5 June 2024); https://doi.org/10.1117/12.3030130
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KEYWORDS
Roads

Mathematical optimization

MATLAB

Signals intelligence

Detection theory

Control systems

Data modeling

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