The architecture of the future autonomous transportation system (ATS) has more comprehensive and complex characteristics, but there is still a lack of a scientific and effective method for the expression of this complex architecture. This paper builds a new visualization platform based on the ATS architecture, and completes the clear and efficient expression of the architecture. This new visualization platform is driven by data flow between systems and information flow between physical elements, combined with the operation logic of perception-learning-decision-response, to realize the dynamic simulation of ATS architecture. Finally, the effectiveness of the theoretical method is demonstrated by taking the scenario of "passing pedestrians passing zebra crossings to avoid vehicles at intersections without signal lights" as an example.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on the Visual Representation of Autonomous Complex Transportation System Architecture


    Beteiligte:
    Li, Meng’en (Autor:in) / Wang, Ping (Autor:in) / Wang, Yu (Autor:in) / Liu, Wenchao (Autor:in) / Bai, Siyuan (Autor:in)

    Kongress:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Erschienen in:

    CICTP 2022 ; 635-646


    Erscheinungsdatum :

    2022-09-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A reconfigurable architecture for autonomous visual-navigation

    Boluda, J. A. / Pardo, F. | British Library Online Contents | 2003


    AUTONOMOUS PUBLIC TRANSPORTATION SYSTEM

    BENRAZ YOSEF | Europäisches Patentamt | 2018

    Freier Zugriff

    Real-time Visual Recognition by Autonomous Vehicle for Intelligent Transportation System

    Agbanhan, J. / Minami, M. / Suzuki, H. et al. | British Library Conference Proceedings | 2000


    Multi-Modal Transport Logic Architecture Analysis Based on Autonomous Transportation System

    Liu, Yihan / Xu, Guangming / Zhong, Linhuan et al. | ASCE | 2022