Liu, Pengyuan (University of Shanghai for Science and Technology), Ding, Derui (University of Shanghai for Science and Technology), Ge, Xiaohua (Swinburne University of Technology)

Collision-Avoidable Platooning Control of Automated Vehicles with Dynamic Event-Triggered Strategies

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Abstract

This paper focuses on platoon control under the framework of model predictive control (MPC), where a dynamic event-triggered strategy (DETS) is employed to govern the information exchange and a collision avoidance constraint is considered to guarantee the safety of automated vehicles. First, the tracking, platoon, smoothness and control input costs are systematically taken into account to reflect the comprehensive performance and a relaxed constraint about collision avoidance is proposed to handle the challenge of distributed calculation. In light of the constructed cost and the relaxed constraint, a DETS-based distributed MPC algorithm is provided to acquire the desired control sequence. Through theoretical analysis, a sufficient condition is received to guarantee the collision-avoidable platoon performance under the proposed MPC algorithm. Finally, the effectiveness of the designed control scheme is verified by simulation examples.