Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2025, Vol. 16 ›› Issue (6): 934-944.DOI: 10.3969/j.issn.1674-8484.2025.06.013

• Intelligent Driving and Intelligent Transportation • Previous Articles     Next Articles

Predictive trajectory tracking control by a linear time-varying model for emergency collision avoidance of autonomous vehicles

WU Hangzhe1(), JIAO Yizhou2, LIU Yang1, ZHONG Wei3, WANG Shuihe2, GUO Jinghua2,*(), ZHAO Jian4   

  1. 1. State Key Laboratory of Advanced Vehicle Integration and Control, China FAW Group Co., LTD. Changchun 130013, China
    2. Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China
    3. School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
    4. College of Automotive Engineering, Jilin University, Changchun 130022, China
  • Received:2025-10-18 Revised:2025-11-10 Online:2025-12-31 Published:2026-01-12

Abstract:

A trajectory tracking method was proposed to improve the stability and safety of autonomous vehicles during emergency collision avoidance. A three-freedom dual-track nonlinear vehicle dynamics model was established based on the dual-track vehicle dynamics model to build a linear time-varying trajectory tracking prediction model; The trajectory tracking control algorithm were converted into an online quadratic programming problem to solve for the optimal control input. Simulation tests and real-vehicle experiments were conducted. The results show that the lateral displacement error is less than 90 mm and yaw angle error is less than 50 mrad in the double lane change simulations at the vehicle speed of 50 km/h with the road adhesion coefficients range of 0.5~1.0. The maximum lateral error is 160 mm with the maximum yaw angle tracking error of 34 mrad in the lane change experiments at the vehicle speed of 60 km/h with a road adhesion coefficient of 0.38. Therefore, the trajectory tracking controller exhibits effectiveness and robustness, guaranteeing the vehicle’s stability and safety during lane changes.

Key words: autonomous driving, emergency collision avoidance, linear time-varying, model predictive control, trajectory tracking

CLC Number: