To meet the demand for networked operation and accommodate tidal passenger flow resulting from the expanded applications, autonomous-rail rapid trams have significantly increased their transport capacity. However, this increased capacity has also brought pressure to traffic congestion. Aimed to improve the road traffic rate of autonomous-rail rapid transit (ART) and ease traffic congestion, this paper proposes a "virtual coupling" control system that uses a bidirectional information flow topology for autonomous-rail rapid tram, by drawing on concepts from the cooperative adaptive cruise control (CACC) in automobiles and train virtual coupling. A safe braking model of autonomous-rail rapid tram is initiatively used to derive the minimum space headway for operation safety between coupled formations, and the collaborative planning and MPC-based collaborative control algorithms utilizing an optimal control approach are applied to guarantee the safe, punctual, comfortable, and efficient operation of coupled formations. The simulation results demonstrate that the system proposed in this paper can enable autonomous-rail rapid tram to be virtually coupled at space headway less than 10 m within a speed range of 0 to 60 km/h, thus effectually promoting the transport capacity and operational efficiency of ART.


    Access

    Download


    Export, share and cite



    Title :

    Research on Key Technologies of Virtual Coupling Control System for Autonomous-rail Rapid Tram


    Contributors:
    HUANG Qiang (author) / YUAN Xiwen (author) / HU Yunqing (author) / LI Cheng (author) / HUANG Ruipeng (author) / TANG Xiang (author)


    Publication date :

    2023




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Research on Longitudinal Intelligent Control of Autonomous-rail Rapid Tram

    TANG Liang / SHEN Mengyu / XIAO Lei | DOAJ | 2023

    Free access

    Research on Lateral Control of Autonomous Driving for Autonomous-rail Rapid Tram

    LIU Xiaocong / ZHOU Sheng / XIAO Lei et al. | DOAJ | 2023

    Free access

    RAIL-BOUND TRAM

    LASKOVSKIJ MANFRED | European Patent Office | 2019

    Free access