Driverless technology has become an indispensable part of future transportation, and in order to study the impact of autonomous vehicles on road network capacity in the future and reveal the mutual influence characteristics of autonomous vehicles and ordinary vehicles, assuming that the autonomous vehicles follow the system-optimal paths and the ordinary vehicles follow the user-optimal paths, we construct a mixed-equilibrium two-layer planning model considering the road section capacity constraints, in which the ordinary vehicles aim at the minimization of the individual travel cost, and the autonomous vehicles aim at the system-optimal goal. The incremental method and MSA (Multiple Sequence Alignment) algorithm are used for traffic allocation, and the validity and feasibility of the model are verified by arithmetic examples. In this paper, the impact of autonomous vehicle market penetration and road network perception coefficient on road network capacity is considered comprehensively. The research results show that under specific network conditions, the road network capacity increases with the increase of the market penetration rate of autonomous cars, and the increase of the road network perception coefficient will cause the road network capacity to show a three-stage change of growth-stability-decline. Through the change rule of road network capacity, it can be seen that driverless cars have a significant impact on the enhancement of urban road network capacity, which in turn can be used to obtain traffic management strategies to improve traffic congestion, enhance road network capacity, and promote traffic intelligence and sustainable development of transportation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Impact Analysis of Autonomous Vehicle Hybridization on Urban Road Network Capacity


    Beteiligte:
    Li, Yuanrui (Autor:in) / Zhao, Hui (Autor:in)


    Erscheinungsdatum :

    28.10.2023


    Format / Umfang :

    718963 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Autonomous vehicle impact on improving road network vulnerability

    Mohammed Obaid / Árpád Török | DOAJ | 2022

    Freier Zugriff

    Autonomous vehicle impact on improving road network vulnerability

    Obaid, Mohammed / Török, Árpád | Springer Verlag | 2022

    Freier Zugriff

    Analysis of Urban CBD Road Network Capacity -Taking Ningbo as an Example

    Dong, Sheng / Jiang, Lihua / Chen, Wenxin et al. | ASCE | 2015


    The impact of autonomous vehicles on urban traffic network capacity: an experimental analysis by microscopic traffic simulation

    Lu, Qiong / Tettamanti, Tamás / Hörcher, Dániel et al. | Taylor & Francis Verlag | 2020

    Freier Zugriff

    Greenhouse Gas Emission Impact of Autonomous Vehicle Introduction in an Urban Network

    Conlon, James / Lin, Jane | Transportation Research Record | 2019