To improve the survivability of multiple ground vehicles when they are maneuvering under the reconnaissance of satellites, a survivability planning modeling method and a cooperative task area allocation method based on genetic algorithm were proposed. Firstly, the problem of task area allocation for multiple ground vehicles is depicted and a framework to solve the problem is established. Then satellite reconnaissance model and cooperative task area allocation model are established. And a customized genetic algorithm is adopted to perform cooperative task area allocation to minimize the total mission time and the exposure time under the reconnaissance of satellites. In addition, a survivability assessment framework is established to evaluate the survival status of ground vehicles. Finally, simulation results show that the proposed method can improve the overall survivability of multiple ground vehicles effectively.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Ground vehicles cooperative task area allocation for survivability improvement


    Contributors:
    Zhu, Yong (author) / Wang, Shengyin (author) / Long, Teng (author) / Wang, Zhu (author) / Xu, Guangtong (author)

    Conference:

    Global Intelligence Industry Conference (GIIC 2018) ; 2018 ; Beijing,China


    Published in:

    Proc. SPIE ; 10835


    Publication date :

    2018-08-31





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Ground Vehicles Cooperative Route Planning for Survivability Improvement

    Wang, Shengyin / Long, Teng / Wang, Zhu et al. | IEEE | 2018


    Cooperative Task Allocation for Heterogeneous Unmanned Delivery Vehicles

    Han, Honggui / Zhang, Yabin / Huang, Yanting | Springer Verlag | 2024



    Task allocation for vehicles

    SAUNDERS JEFFERY | European Patent Office | 2023

    Free access