Longitudinal safety control strategy for autonomous vehicles without signal-controlled intersection

Rui Guo; Yiming Zhang

doi:10.1117/12.3009546

16 October 2023 Longitudinal safety control strategy for autonomous vehicles without signal-controlled intersection

Rui Guo, Yiming Zhang

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128033X (2023) https://doi.org/10.1117/12.3009546
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

In order to enable autonomous vehicles to adopt correct longitudinal control strategies when facing horizontal non-connected vehicles at untrusted intersections, reduce the risk of collision, this paper proposes acceleration collision avoidance, deceleration avoidance and pre-collision methods. An upper-layer collision avoidance controller based on fuzzy control and an upper-layer collision controller based on collision damage minimization are designed. In this paper, Simulink is used to build a 5-DOF dynamic model of the vehicle and to conduct simulation experiments. The results show that the adopted longitudinal control strategy can maximize the safety of the vehicle when collision avoidance and collision avoidance are not timely.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rui Guo and Yiming Zhang "Longitudinal safety control strategy for autonomous vehicles without signal-controlled intersection", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128033X (16 October 2023); https://doi.org/10.1117/12.3009546

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