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不同交通管理策略下异质交通流稳定性分析

Stability analysis of heterogeneous traffic flow under different traffic management strategies
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摘要 为研究智能网联车辆(CAV)对交通流稳定性的影响机理,对CAV车辆与人工车辆(HMV)构成的异质交通流,先建立车道管理策略下的交通流分配模型,提出车队管理策略下的车辆编队规模计算方法;再基于CAV与HMV车辆的跟驰模型,运用李雅普诺夫理论,搭建交通流稳定性分析框架;最后,构建异质交通流稳定性判别式,对比分析在不同管理策略下异质交通流稳定性的演变机理。研究结果表明:在随机混行条件下,当车辆速度大于23.12 m/s或CAV车辆的渗透率高于92%时,异质交通流处于恒稳定的状态;在车道管理策略条件下,当CAV车辆的渗透率低于60%时,异质交通流趋于稳定,随着CAV车辆渗透率的增大,通用车道稳定性开始逐级变差;当车辆采取编队控制算法且CAV车辆渗透率大于19%时,异质交通流处于稳定状态。CAV车辆在道路中随机混行,会对交通流的稳定性造成不良影响,而通过车道管理和编队控制,交通流的稳定性得到了明显改善。该研究可为智能网联汽车的安全管控及相关交通规划提供理论指导与借鉴。 The evolution of heterogeneous traffic flow stability is needed to be analyzed under different traffic management strategies.In this paper,the lane management strategy and platoon management strategy were proposed for the heterogeneous traffic flow composed of Connected and Automated Vehicles(CAV)and Human Manual Vehicles(HMV).The traffic flow assignment model for the lane management strategy and the calculation method of platoon size for the platoon management strategy were constructed,respectively.Moreover,the Lyapunov Theory was used to develop a framework for the analysis of the traffic flow stability based on the follow-car model of CAV and HMV.A criterion of the heterogeneous traffic flow stability was then proposed to compare the evolution mechanism for different management strategies.The results showed that the heterogeneous traffic flow could be stable,when the speed was higher than 23.12m/s or the CAV permeability was higher than 92%.The heterogeneous traffic flow could remain stable,when the permeability was lower than 60%under the lane management strategy,and the stability of the general lane deteriorates gradually with the increase of the permeability.With the vehicle platoon control algorithm,the heterogeneous traffic flow could be in a stable state with the permeability higher than 19%.This research indicates that CAV random mixing on the road is prone to greatly deteriorating the stability of traffic flow but it can be significantly improved enforcing the lane management and formation control.Among them,the stability domain of the fleet management strategy is optimal,and that of the lane management strategy is better than that of the no agglomeration strategy.
作者 谢庆元 吴其育 余亦彧 XIE Qingyuan;WU Qiyu;YU yiyu(School of Traffic&Transportation Engineering,Changsha University of Science&Technology,Changsha 410114,China;BYD Auto Industry Co.,Ltd.,Changsha 410021,China)
出处 《交通科学与工程》 2023年第6期123-133,共11页 Journal of Transport Science and Engineering
基金 长沙理工大学实践创新与创业能力提升计划(SJCX202110)。
关键词 异质交通流 智能网联汽车 渗透率 稳定性 数值仿真 heterogeneous traffic flows connected and automated vehicles market penetration rate stability numerical simulation
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