基于混行跟驰仿真的CAV专用进口道动态设置方法  

Dynamic Layout Design of Connected and Automated Vehicle Entrance Lanes Based on Mixed-traffic Car-following Simulations

作　　者：宗芳[1] 李宇暄 贺正冰 曾梦 ZONG Fang;LI Yu-xuan;HE Zheng-bing;ZENG Meng(Transportation College,Jilin University,Changchun 130022,Jilin,China;Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,China)

机构地区：[1]吉林大学交通学院,吉林长春130022 [2]北京工业大学交通工程北京市重点实验室,北京100124

出　　处：《中国公路学报》2022年第7期251-260,共10页China Journal of Highway and Transport

基　　金：国家重点研发计划项目(2018YFB1600500)。

摘　　要：信号交叉口是影响交通系统运行安全和效率的关键。在国家新基建战略的提出以及车路协同技术不断发展的环境下,合理设置网联自动驾驶车辆(Connected and Autonomous Vehicle, CAV)专用进口道,对信号交叉口进口道处不同网联类型的车辆进行科学的交通组织,能够提高交叉口的通行能力,降低行车延误,促进城市交通系统效率与安全的双提升。建立协同自适应巡航控制(Cooperative Adaptive Cruise Control, CACC)车辆跟驰模型和GM(General Motor)模型分别描述混行环境下网联车辆与非网联车的跟驰行为,以提高进口道通行能力、降低延误和油耗为优化目标,采取敏感度分析方法,提出不同CAV比例、进口道车道数、交通量和信号配时方案组合情况下CAV专用进口道的动态设置条件,适用于不同交通状况的信号交叉口,具有较强的普适性。数值仿真结果表明:采用该方法设置CAV专用进口道能够提高混行信号交叉口的通行能力、降低延误和车均油耗;在实际应用时,可视交叉口类型和交通智能化程度灵活选取CAV专用进口道设置方式,为混行交通流环境下交叉口进口道的交通组织优化提供理论依据和模型支持,对车路协同系统的相关研究具有参考意义。Signalized intersections are critical for the safety and efficiency of urban traffic systems. With the proposal of the new national infrastructure strategy and the continuous development of vehicle-road coordination techniques, the layout of connected and automated vehicle(CAV) entrance lanes for intersections is beneficial to improving capacity and reducing delay, and promoting the efficiency and safety of urban transportation systems. However, the use of CAVs influences the car-following characteristics, which are different from those of traditional vehicles. In this study, cooperative adaptive cruise control and General Motor models were established to simulate the car-following behavior of connected and nonconnected vehicles, respectively. The operational characteristics of a mixed traffic flow under different driving conditions at signalized intersections were then simulated using the models. The dynamic layout conditions for the CAV entrance lane under different conditions were proposed to improve capacity and minimize delay and fuel consumption, considering the ratio of CAVs, number of entrance lanes, traffic volume, and signal timing scheme. The numerical simulation results indicate that the proposed method improves traffic efficiency and reduces delay and fuel consumption at signalized intersections. A feasible approach for designing CAV entrance lanes at signalized intersections in intelligent network environments was proposed in this study. Moreover, this study can serve as a reference for related research on vehicle-road coordination systems.

关 键 词：交通工程 网联自动驾驶车辆专用进口道 混行跟驰仿真 混行交通流 信号交叉口 交通组织 

分 类 号：U491.222[交通运输工程—交通运输规划与管理]