基于车路协同大流量高速公路多车道管控策略研究

Research on multi-lane control strategy based on vehicle-infrastructure collaborative large-flow expressway

随着信息技术的飞速发展,车路协同技术成为发展智慧公路的重要技术手段。应用主动式交通管理以提供更加实时有效的信息已成为行业新共识。通过对大流量交通流场景下的高速公路交通特征及道路通行能力进行分析,提出基于车路协同大流量影响下的多车道级控制策略。本次仿真实验利用VISSIM软件二次开发搭建高速公路主线大流量交通场景,考虑车路协同场景下车路信息交互,搭建车辆跟驰模型及其换道模型。通过分析河南省高速公路交通数据,建立微观交通仿真环境,对不同管控措施下道路占有率、平均延误时间、平均车辆速度以及道路通行时间等交通流特征进行模型仿真分析。结果表明:相较于无管控道路状态,文中提出的面向车路协同环境的动态控制车辆速度以及硬路肩开放的管控措施能够更加有效地消除高速公路大流量瓶颈区域拥堵,提升道路通行效率及其道路安全性。

With the rapid development of information technology,vehicle-road collaboration technology has become a necessary technical means to develop intelligent roads.The application of active traffic management to provide more real-time and practical information has become a new industry consensus.Based on the analysis of highway traffic characteristics and road traffic capacity under the scenario of large traffic flow,this paper proposes a multi-lane level control strategy based on the influence of vehicle-road collaborative large traffic flow.This simulation experiment uses the secondary development of VISSIM software to build a large-flow traffic scene on the main line of the expressway.Considering the vehicle-road information interaction in the vehicle-road collaborative,the vehicle-following and lane-changing models are built.Analyzing the empirical data of expressways in Henan Province and inputting the micro-traffic simulation environment,the traffic flow capacity characteristics such as road occupancy,average delay time,average vehicle speed,and traffic time under different control measures are simulated.The results show that compared with the uncontrolled road state,the proposed control measures of dynamic control of vehicle speed and hard shoulder opening for a cooperative vehicle-road environment can more effectively eliminate the congestion in the bottleneck area with the large flow of expressway and improve road traffic efficiency and road safety.