Research on the vehicle lane-changing decision-making system in complex traffic environments

Author:

Lu Xiaochun,Wei Xikai,Zhang Yongjie

Abstract

Abstract In order to ensure the safety of vehicles changing lanes, there should be a certain degree of interaction and dynamics between vehicles on the way. In this paper, the problems of non-interactive road information and imprecise path planning are investigated. Through the research of the road condition decision-making system, autonomous lane-changing assistance system and intelligent traffic system, vehicle wireless networking technology, vehicle-road cooperation technology, and lane-changing decision-making and planning technology are used to increase the frequency of information interaction between vehicles and the external environment in order to realize information interaction between vehicles and collaborative driving. In this paper, simulation experiments of vehicle lane-changing are carried out by using MATLAB Simulink and compared with other research models. The results show that the lane change planning data based on the road condition decision system is more accurate, which leads to fast lane change driving in complex traffic scenarios.

Publisher

IOP Publishing

Reference11 articles.

1. An IMM-Based POMDP Decision Algorithm Using Collision-Risk Function in Mandatory Lane Change;Yunfeng;Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering,2022

2. An Integrated Lane Change Prediction Model Incorporating Traffic Context Based on Trajectory Data;Qingwen,2022

3. Coordinated Decisions of Discretionary Lane Change between Connected and Automated Vehicles on Freeways: A Game Theory-Based Lane Change Strategy;Yuan;IET Intelligent Transport Systems,2020

4. Guilt-Tripping: On the Relation between Ethical Decisions, Climate Change and the Built Environment;Paulina Prieto De La Fuente;Urban Planning,2020

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