快速路车路协同场景交通流运行效率仿真评价

为研究车路协同系统在不同车间信息交互水平下对快速路交通流的影响,采集并提取北京市四方桥快速路段早高峰交通流轨迹,同时分析车路协同场景下快速路车辆运行特征,实现对常规驾驶场景和信息交互场景的车辆行驶模型标定.选取期望速度行驶车辆占比、横向车距收缩比、纵向车距收缩比、通行能力拓展比对车辆运行效率进行评价,提出车辆横向偏移距...

A Simulation Evaluation of Traffic Flow Efficiency of Urban Expressways under Cooperative Vehicle-infrastructure Scenarios

This paper collects and extracts vehicle trajectory data on the road section of Sifang Bridge in Beijing during the morning peak hour to study impacts of the cooperative vehicle-infrastructure system(CVIS)on expressways under different levels of information interaction between vehicles. Driving behaviors of vehicles are analyzed under the vehicle-road collaboration scenario to calibrate parameters of the conventional driving scenes and information interaction scenes for driving models. The ratios of vehicles running at desired speed, transverse vehicle distance contraction, longitudinal vehicle distance contraction, and traffic capacity expansion are selected to evaluate operating efficiency of the vehicles, and the ratio of vehicle lateral offset distance reduction is selected as an index to evaluate space occupancy rate in the vehicle-road collaboration scenario. A simulation model is developed to analyze the impacts of different levels of information interaction on traffic flow. The results show that vehicle operation efficiency increases with an improved level of information interaction, and improvement of road capacity is the most significant. When the level of information interaction increased from level 4 to level 1, the traffic capacity is expanded by 19.42%, 28.06%, 46.48%, and 74.62%, respectively, and the rest of the index values are slightly improved during the simulation period. The vehicle lateral offset distance under the information interaction scenario is reduced, and the reduction ration is 17.33% under the scenario of level 1 information interaction. It indicating that the lateral safety of the vehicle under the same lane width is improved.