Paper
28 August 2024 Variable speed limit control of freeway based on sliding mode reaching law
Qing-zhong Jiang, Shou-feng Lu, Yi-Fan Liu
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132515P (2024) https://doi.org/10.1117/12.3039549
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
Variable speed limit control is an important means to alleviate highway traffic congestion. Its principle is to prevent traffic capacity degradation in bottleneck areas by speed limiting. With the development of intelligent network connection and vehicle-road cooperation technology, the controllable degree of intelligent vehicle has been greatly improved, which provides a prerequisite for improving the performance of control. Improvements have been made implemented on the sliding mode reaching law formula, leading to the development of a formula incorporating a filter factor. Building upon this advancement, a VSL control model employing the novel sliding mode reaching law is put forth, with the stability demonstrated through analysis using the Lyapunov function. By constructing a simulation platform with SUMO and VEINS for analysis. Results showed that the new model saves 9.5% of total travel time and 10.9% of total delay compared to the classical PID feedback control algorithm. Moreover, the new model is more stable and solves the problem of speed oscillation in the speed limit zone.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qing-zhong Jiang, Shou-feng Lu, and Yi-Fan Liu "Variable speed limit control of freeway based on sliding mode reaching law", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132515P (28 August 2024); https://doi.org/10.1117/12.3039549
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KEYWORDS
Control systems

Feedback control

Roads

Compliance

Transportation

Tunable filters

Sensors

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