智能网联环境下改进的自主换道决策模型  

Improved Autonomous Lane-Change Decision Model in Intelligent Connected Environments

作　　者：洪博文 杜胜品[1] Bowen Hong;Shengpin Du(School of Automotive and Traffic Engineering,Wuhan University of Science and Technology,Wuhan Hubei)

机构地区：[1]武汉科技大学汽车与交通工程学院,湖北武汉

出　　处：《运筹与模糊学》2024年第6期607-616,共10页Operations Research and Fuzziology

摘　　要：为了提高城市道路中的运行效率,避免频繁的换道,减少交通拥堵和交通事故的发生,改进了传统的MOBIL自主性换道决策模型,并与相应的IDM跟驰模型结合。在智能网联环境中考虑不同车辆类型换道后对原车道与目标车道多辆后随车影响程度的不同,加入不同车辆类型换算系数并构建权重因子表达式。利用MATLAB软件进行数值仿真实验,通过定量分析将改进的自主换道决策模型与传统换道模型进行比较。实验结果表明:与传统模型相比,加权MOBIL换道决策模型能够减少交通流延误、降低车辆换道次数。这表明,改进的MOBIL自主换道决策模型能提高交通流的运行效率和稳定性。To improve the operational efficiency on urban roads,avoid frequent lane changes,reduce traffic congestion and the occurrence of traffic accidents,the traditional MOBIL lane-changing decision-making model has been improved and integrated with the corresponding Intelligent Driver Model(IDM)car-following model.In the intelligent connected environment,considering the different im-pacts of various vehicle types on the original and target lanes after changing lanes on multiple following vehicles,different vehicle type conversion coefficients are added and a weight factor ex-pression is constructed.Numerical simulation experiments were conducted using MATLAB soft-ware,and the improved autonomous lane-changing decision model was compared with the tradi-tional lane-changing model through quantitative analysis.The experimental results show that com-pared with the traditional model,the weighted MOBIL lane-changing decision model can reduce traffic flow delays and decrease the number of vehicle lane changes.This indicates that the im-proved MOBIL autonomous lane-changing decision model can enhance the operational efficiency and stability of traffic flow.

关 键 词：MOBIL模型 车辆类型 跟驰模型 网联自动驾驶 换道 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]