交通流频变路段智能网联车辆换道演化博弈机制  

Evolutionary Game Mechanisms of Lane Changing for Intelligent Connected Vehicles on Traffic Flow Frequently Changing Sections

作　　者：戴守晨 曲大义 孟奕名 杨玉凤 王其坤 DAI Shouchen;QU Dayi;MENG Yiming;YANG Yufeng;WANG Qikun(School of Mechanical and Automotive Engineering,Qingdao University of Technology,Qingdao 266520,China)

机构地区：[1]青岛理工大学机械与汽车工程学院,山东青岛266520

出　　处：《复杂系统与复杂性科学》2024年第3期128-135,153,共9页Complex Systems and Complexity Science

基　　金：国家自然科学基金(52272311,51678320);山东省重点研发项目(2019GGX101038)。

摘　　要：为研究城市交通流频变路段智能网联车辆换道博弈的演化机制和降低车辆换道的决策冲突,通过量化车辆收益和权重系数实现人车交互并建立演化动态方程,根据博弈系统的雅可比矩阵分析均衡点的稳定性,最后利用数值仿真决策演化路径并对影响因素进行灵敏度分析。结果表明不同驾驶决策的初始比例会影响决策的演化方向,左转绿灯时间增进车辆策略向(换道,让行)方向演化,随决策时刻位置减小增进车辆策略向(换道,让行)方向演化。In order to study the evolutionary mechanism of lane changing for intelligent connected vehicles on urban traffic flow frequently changing sections and reduce the decision conflict of vehicle lane changing,the human-vehicle interaction was realized and the evolutionary dynamic equations were established by quantifying the vehicle revenue and weight coefficient.According to the Jacobi matrix of the game system,the stability of the equilibrium points were analyzed.Finally,the numerical simulation was used to determine the evolution path and the sensitivity analysis of the influencing factors was carried out.The results show that the initial ratio of different driving decisions will affect the evolution direction of the decision,and the left-turn green time will enhance the evolution of vehicle strategy in the direction of changing lane and giving way,and the evolution of vehicle strategy in the direction of changing lane and giving way as the position of decision time decreases.

关 键 词：智能网联车辆 交通流频变路段 强制换道 演化博弈 

分 类 号：U491[交通运输工程—交通运输规划与管理] U491.2[交通运输工程—道路与铁道工程]