With the development of intelligent technologies, self-driving vehicles are considered as a promising solution against accident, traffic congestion and pollution problems. Intelligent vehicle techniques have been the research focus all over the world. However, full self-driving vehicles are still far away from its realization and extensive application due to safety requirements and cost considerations. As a novel breakthrough, PArallel VEhicles (PAVE) incorporate the ACP theory, which facilitates real-time interaction and optimization of the actual self-driving vehicles and the artificial ones. As a result, PAVE can maintain intelligent control of the actual self-driving vehicles and achieve the global optimization via software-defined self-driving vehicles, intelligent infrastructure construction, and parallel control center. Besides, PAVE can effectively reduce the cost of high-precision equipments on the actual self-driving vehicles via remote processing and intelligent road(side) infrastructure, and also achieve improved safety and reliability via remote control, guidance and planning.


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    Titel :

    Parallel vehicles based on the ACP theory: Safe trips via self-driving


    Beteiligte:
    Han, Shuangshuang (Autor:in) / Wang, Fei-Yue (Autor:in) / Wang, Yingchun (Autor:in) / Cao, Dongpu (Autor:in) / Li, Li (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    1756170 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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