同济大学学报（自然科学版）2024，Vol.52Issue(7)：1109-1117,9.DOI:10.11908/j.issn.0253-374x.22353
智能网联汽车多目标预测优化换道决策方法
Multi-Objective Predictive Optimization Based Lane Change Decision Making Method for Automated and Connected Vehicles
摘要
Abstract
Lane change decision-making is one of the current opening challenges of automated and connected vehicles.Due to highly dynamic and complex traffic situations,multi-objective decision-making considering vehicle safety and riding efficiency is much more challenging.Therefore,this paper proposes a novel multi-objective predictive optimization-based lane change decision making method,which consists of dynamic matrix modeling and resolving of multi-objective predictive optimization problem.First,the matrix model of traffic flow is established based on the big data information from connected vehicles.Then,dynamic models representing lane change safety and riding efficiency are designed.The predictive optimization problem with constraints can be solved so that the optimal lane change decision is provided.Experimental results illustrate that the proposed method performs better and can improve vehicle safety and riding efficiency of automated and connected vehicles.关键词
智能网联汽车/换道决策/多目标优化/预测优化Key words
automated and connected vehicles/lane change decision making/multi-objective optimization/predictive optimization分类
交通工程引用本文复制引用
程硕,夏新,NAKANO Kimihiko..智能网联汽车多目标预测优化换道决策方法[J].同济大学学报（自然科学版）,2024,52(7):1109-1117,9.基金项目
日本学术振兴会外籍特别研究员资助项目(P21362) （P21362）
