The invention provides an urban mixed traffic flow fundamental diagram model analysis method and system in an Internet of Vehicles environment, and belongs to the technical field of urban traffic management and networked automatic driving automobile application. Different car-following models are selected according to car-following vehicle types, and meanwhile, nine different time headway types of front and back vehicle types are set; based on a Markov chain model, calculating a transition probability corresponding to each vehicle following mode in the urban mixed traffic flow, deducing a basic diagram model of the mixed traffic flow under a single lane, and considering the influence of the network connection automatic driving vehicle permeability, the bus permeability and the network connection automatic driving vehicle queuing intensity on the road traffic capacity; the influence of different influence factors on the flow stability of the mixed traffic flow is analyzed under the consideration of the influence of the random time headway. According to the invention, the road traffic capacity under different traffic densities and vehicle type distribution conditions is disclosed; the influence of the random time headway on the traffic flow stability is discussed under the existing basic diagram model framework.

    本发明提供一种车联网环境下城市混合交通流基本图模型分析方法及系统,属于城市交通管理和网联自动驾驶汽车应用技术领域,根据跟车车辆类型选择不同的跟驰模型,同时设置九种前后车辆类型不同的车头时距类型;基于马尔科夫链模型,计算城市混合交通流中每种跟车模式所对应的转移概率,推导单条车道下混合交通流的基本图模型,考虑网联自动驾驶车辆渗透率、公交车渗透率和网联自动驾驶车辆排队强度对道路通行能力的影响;考虑在随机车头时距的影响下,进行不同影响因素对混合交通流的流量稳定性的影响分析。本发明揭示了不同交通密度和车辆类型分布条件下的道路通行能力;在已有的基本图模型框架下,探讨了随机车头时距对交通流稳定性的影响。


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    Titel :

    Urban mixed traffic flow fundamental diagram model analysis method and system in Internet of Vehicles environment


    Weitere Titelangaben:

    车联网环境下城市混合交通流基本图模型分析方法及系统


    Beteiligte:
    YANG XIAOBAO (Autor:in) / YAO JIAQI (Autor:in) / YANG MANLI (Autor:in) / LIU XIAOBING (Autor:in) / JIANG RUI (Autor:in) / ZHAO JIANDONG (Autor:in) / YAN RUIDONG (Autor:in) / ZHENG SHITENG (Autor:in)

    Erscheinungsdatum :

    04.04.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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