The current research on vehicle driving simulation lacks the participation of real traffic participants, such as pedestrians and cyclists. In this research, the system design is carried out in the aspect of vehicle and pedestrian interactive simulation. Based on the human-machine environment system engineering idea and using the existing simulation technology, an automatic driving simulation platform for collision avoidance decision-making of vulnerable road users is designed and constructed. The platform collects the location, speed and other information of real vulnerable road users, establishes virtual scenarios and vehicle dynamics with PreScan and CarSim respectively, and establishes decision-making module with Simulink, and carries out real vehicle control with driving simulator. Based on real vehicles and real vulnerable road users, the simulation test platform established by this study can be used to make collision avoidance decision-making simulation without safety risk.


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    Titel :

    Automated Driving Simulation Platform Design on Collision Avoidance Decision Making for Vulnerable Road Users


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Long, Shengzhao (Herausgeber:in) / Dhillon, Balbir S. (Herausgeber:in) / Si, Xiang (Autor:in) / Yuan, Quan (Autor:in)

    Kongress:

    International Conference on Man-Machine-Environment System Engineering ; 2021 ; Beijing, China October 23, 2021 - October 25, 2021



    Erscheinungsdatum :

    22.09.2021


    Format / Umfang :

    5 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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