Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2024, Vol. 15 ›› Issue (1): 99-110.DOI: 10.3969/j.issn.1674-8484.2024.01.011

• Intelligent Driving and Intelligent Transportation • Previous Articles     Next Articles

Pedestrian crossing simulation and vehicle right-turn obstacle avoidance path planning method

LI Wenli(), REN Yongpeng, XIAO Kaiwen, SUN Yuanyuan   

  1. Chongqing University of Technology, Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing 400054, China
  • Received:2023-04-28 Revised:2023-10-11 Online:2024-02-29 Published:2024-02-29

Abstract:

A pedestrian crossing motion model simulating the crossing behavior was proposed to solve the problem of interaction conflict between right-turning vehicles and pedestrians crossing the street on the same side at unsignalized intersections. A vehicle horizontal and vertical decoupling obstacle avoidance path planning algorithm were designed with the simulation experiments carrying out. Enable the vehicle to reasonably switch obstacle avoidance path planning strategies when facing dynamic and static pedestrians. The pedestrian driven by the crossing motion model was taken as the obstacle avoidance object of the vehicle with the vehicle longitudinal-speed planning obstacle distance-time region generated based on the future trajectory of the pedestrian output from the crossing model to make the future movement state of the pedestrian feed back to the vehicle obstacle avoidance. The results show that the accuracy of this pedestrian crossing motion model reaches the 90% of the observed values. Therefore, the model reproduces the current pedestrian crossing process with switching the scheme according to the pedestrian's motion state to make vehicle avoid crossing pedestrians.

Key words: intelligent driving, vehicle turning right, vehicle route planning, pedestrian avoidance, pedestrian motion model, horizontal and vertical decoupling

CLC Number: