【作者】 于杰； 江发潮； 孔伟伟； 罗禹贡；

【Author】 Yu Jie;Jiang Fachao;Kong Weiwei;Luo Yugong;China Agricultural University;Tsinghua University;

【机构】 中国农业大学； 清华大学；

【摘要】 为解决城市非信控多交叉路口环境的道路通行效率与车辆燃油经济性的协同优化问题,基于车路协同技术提出了一种多车协同控制方法。首先,建立了多层递阶分布式协调控制架构,包括宏观交通优化层和微观车辆队列控制层,分别对每个交叉路口子区域进行集中式优化控制和对每个车辆队列进行分布式优化控制。最后,针对12个典型非信控交叉路口,利用MATLAB/SUMO软件进行联合仿真,并与现有常用的多交叉路口多车协同控制方法进行对比分析,结果表明,所提出的方法平均行程时间缩短约57.99%,平均速度提升约29.76%,同时降低约13.66%的能耗,实现了道路交通效率和车辆燃油经济性的同时提升。更多还原

【Abstract】 In order to solve the collaborative optimization problem of road traffic efficiency and vehicle fuel economy in urban nonsignal-controlled multi-intersection environment,this paper proposed a multi-vehicle collaborative control method based on vehicle-road collaborative technology.Firstly,a multi-layer hierarchical distributed coordinated control architecture was established,including a macro-traffic optimization layer and a micro-vehicle queue control layer.In the macro-traffic optimization layer,centralized optimization control was performed for each intersection sub-area;in the micro-vehicle queue control layer,distributed optimization control was performed for each vehicle queue.Finally,MATLAB/SUMO software was used to simulate 12 typical non-signal-controlled intersections to compare with the existing common multi-vehicle collaborative control method of multi-intersections.The simulation results show that the proposed travel method can shorten the average travel time by about 57.99% and the average speed by about 29.76% while reducing energy consumption by about 13.66%,improving road traffic efficiency and vehicle fuel economy simultaneously.更多还原