Abstract
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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Acknowledgements
This paper was supported by the National Natural Science Foundation of China (No. 52072214) , National Key R&D Program of China (No. 2017YFC0803802) and National Undergraduate Training Program for Innovation and Entrepreneurship (No. 202010003091).
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Si, X., Yuan, Q. (2022). Automated Driving Simulation Platform Design on Collision Avoidance Decision Making for Vulnerable Road Users. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE. MMESE 2021. Lecture Notes in Electrical Engineering, vol 800. Springer, Singapore. https://doi.org/10.1007/978-981-16-5963-8_107
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DOI: https://doi.org/10.1007/978-981-16-5963-8_107
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