主路优先控制交叉口次路混合流通行能力计算模型  

Calculation modeling for mixed traffic capacity on minor road at priority intersections

作　　者：罗钦中 肖腾飞 秦严严 LUO Qinzhong;XIAO Tengfei;QIN Yanyan(College of Traffic and Transportation,Chongqing Jiaotong University,Chongqing 400074,China)

机构地区：[1]重庆交通大学交通运输学院,重庆400074

出　　处：《现代交通与冶金材料》2025年第2期51-61,共11页Modern Transportation and Metallurgical Materials

基　　金：国家自然科学基金资助项目(52002044)。

摘　　要：随着自动驾驶和网联技术的发展,主路优先交叉口出现协同自适应巡航控制(Cooperative Adaptive Cruise Control,CACC)车辆、自适应巡航控制(Adaptive Cruise Control,ACC)车辆、网联人类驾驶车辆(Connected and Human-driven Vehicle, CHV)和常规驾驶车辆(Regular Vehicle,RV)共同构成的混合交通流。作为连接道路的关键节点,主路优先交叉口的通行能力直接影响路网效率。在这种交叉口中,主路和次路车辆通行权的不一致性使得次路交通流成为限制交通流效率的主要因素。针对主路优先控制交叉口次路通行能力建模问题,本文通过建立CACC、ACC、CHV以及RV数量关系的数学解析表达式,结合各车型车头时距得到次路混合交通流的平均车头时距,提出不同渗透率条件下次路混合流通行能力计算模型。最后,通过案例分析验证所提通行能力模型的有效性。研究结果表明,提高网联自动驾驶车辆(Connected and Automated Vehicle,CAV)渗透率和CHV比例能有效提升通行能力。此外,在主路流量分别为200veh/h~800 veh/h的情形下,通过减小CACC车头时距能够达到的最大通行能力提升幅度为79.94%~81.47%,通过减小ACC车头时距能够达到的最大通行能力提升幅度为16.15%~16.74%。With the advancement of autonomous driving and connectivity technologies,priority inter-sections now accommodate a mixed traffic flow,consisting of Cooperative Adaptive Cruise Control(CACC)vehicles,Adaptive Cruise Control(ACC)vehicles,Connected and Human-driven Vehicles(CHVs),and Regular Vehicles(RVs).As a critical node in the road network,the capacity of priority intersections has a direct impact on the overall traffic efficiency.In such intersections,the disparity in right-of-way between vehicles on major road and minor road makes the flow of minor road traffic the primary constraint on traffic efficiency.In addressing the modeling problem of traffic capacity on minor road at priority intersections,this paper establishes mathematical analytical expressions for the relation-ship between the quantities of CACC,ACC,CHV and RV.By incorporating headways of each type,the average headway of mixed traffic flow on minor road is derived at different penetration rates,conse-quently forming a calculation modeling for capacity of mixed traffic flows on minor roads at priority in-tersection.Finally,the validity of the proposed capacity model is verified by numerical experiments.The results show that increasing Connected and Automated Vehicle(CAV)penetration rate and proportion of CHVs can effectively improve capacity.In addition,in the case of 200 veh/h~800 veh/h traffic volume on major road,maximum improvement proportions in mixed traffic capacity achieved by reducing headway of CAV under CACC mode ranges from 79.94%to 81.47%,and maximum improvement proportions in mixed traffic capacity achieved by reducing headway of CAV under ACC mode ranges from 16.15%to 16.74%.

关 键 词：混合交通流 通行能力模型 网联车辆 主路优先控制交叉口 

分 类 号：U491[交通运输工程—交通运输规划与管理]