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网联混合流高速公路车道管理及通行能力分析

Expressway Lane Management and Traffic Capacity Analysis under Mixed Flow and Connected Environment

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【作者】 王正武陈涛向健贺正冰

【Author】 WANG Zheng-wu;CHEN Tao;XIANG Jian;HE Zheng-bing;School of Traffic and Transportation Engineering, Changsha University of Science and Technology;Senseable City Laboratory, Massachusetts Institute of Technology;

【通讯作者】 陈涛;

【机构】 长沙理工大学交通运输工程学院麻省理工学院可感知城市实验室

【摘要】 为提高网联混合交通流环境下高速公路基本路段通行能力,需针对车流量、网联自动驾驶车辆(CAV)比例制定与之匹配的车道管理策略。针对低CAV比例环境下CAV专用车道闲置浪费的问题,提出了一种CAV优先车道管理策略。利用跟驰模型推导了混合交通流基本图模型,构建了人工驾驶车辆(HV)专用车道、CAV专用车道、混行车道及CAV优先车道通行能力模型,分析了高速公路不同车道组合方案适用的交通需求范围。然后,以双向4车道高速公路为例,基于SUMO仿真平台分析了CAV优先车道性能,对不同车道组合方案的通行能力和适用范围进行了仿真验证,并从效率、安全及能耗角度对车道组合方案进行了比较。结果表明:在适用性方面,CAV比例p≤0.5时,两条混行车道适用的交通需求范围最大,CAV优先车道次之,CAV专用车道最小;在效率方面,p≤0.5时,设置CAV专用车道方案的效率最差,CAV优先车道表现较好,且p越小优先车道效率提升越显著;在安全、能耗方面,设置CAV专用车道方案的能耗和安全性能较佳,CAV优先车道次之;在p>0.5时,设置CAV专用车道方案的综合表现更优;在多种车道管理方案均可行时,相比于两条混行车道方案,采取其他车道管理措施在安全、能耗上的表现均有提升;在需求D≤2 500 veh/h,p≤0.5时,相比于其他车道方案,采用CAV优先车道方案既能满足通行需求、降低能耗,也能更充分地利用道路资源,综合表现均衡。

【Abstract】 In order to improve the capacity of two-way four-lane expressway in the connected environment with mixed flow, it is necessary to formulate lane management strategies according to traffic flow and connected and automated vehicle(CAV) permeability. Aiming at the idle waste of CAV dedicated lanes in the low CAV penetration environment, the CAV priority lanes is proposed. Firstly, the fundamental diagram of mixed traffic flow is derived by the classic car following model, and then the capacity models of human-driving vehicle(HV) dedicated lane, CAV dedicated lane, mixed lane and CAV priority lane are constructed. Next, the applicable demand range of different lane combination strategies expressway is analyzed. Then, based on SUMO simulation platform, the performance of the CAV priority lane under the environment of two-way four-lane freeway is analyzed, meanwhile, the traffic capacity and application range of different lane combination strategies are verified by simulation, in addition, the lane combination strategies are compared from the perspective of efficiency, safety and energy consumption. The result shows that(1) in terms of adaptability, when CAV ratio p≤0.5, the strategy of two mixed lanes can meet the largest demand range, followed by the CAV priority lane, and the CAV dedicated lane is the smallest;(2) in terms of efficiency, when p≤0.5, the efficiency of CAV dedicated lane is the worst, but the CAV priority lane performs well, and the smaller p is, the more efficiency improvement of CAV priority lanes is;(3) in terms of safety and energy consumption, the CAV dedicated lane performs better in energy consumption and safety, followed by CAV priority lane;(4) when p>0.5, the comprehensive performance of CAV dedicated lane is better;(5) when multiple lane management strategies are feasible, compared with the strategy of 2 mixed lanes, taking other lane management measures can achieve good effects in safety and emissions;(6) when demand D≤2 500 veh/h and p≤0.5, CAV priority lane strategy can not only meet the traffic demand, reduce energy consumption, but also make better use of road resources and achieve a balanced performance.

【基金】 国家重点研发计划项目(2022YFC3803700);国家自然科学基金项目(52372296);长沙市科技重大专项项目(kh2301004);湖南省自然科学基金项目(2023JJ30039);湖南省教育厅项目(20A023)
  • 【文献出处】 公路交通科技 ,Journal of Highway and Transportation Research and Development , 编辑部邮箱 ,2024年02期
  • 【分类号】U491
  • 【下载频次】101
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