Research on Occupant Safety in Frontal Collision Based on Different Sitting Positions of Intelligent Vehicles

Author:

Mengqi Li,Haitao Zhu,Xiaobing Bu

Abstract

Abstract: To study the safety of drivers with different sitting positions in intelligent vehicle collision, the slide model of SUV was established and the precision of the model was verified by slide test. The simulation model of driver's attitude was established by THUMS. According to the results of post mortem human surrogate (PMHS), the sitting postures of THUMS at different seat backrest angles were adjusted and the drivers’ injuries of three sitting postures in frontal collision were analyzed. Simulation results show that when the driver was in semi-recumbent and reclining posture, the protective effect of the airbag on the head was obviously reduced in collisions, and the head and chest will be seriously damaged due to the large seat backrest angle, resulting in increased distance between the head and the wheel. Besides, the tilting sitting posture leads to the risk of sunken seat in the collision. Therefore, with the development of autonomous driving technology, not only should intelligent vehicles meet occupants’ comfort requirements, but the collision safety caused by the change of sitting postures should be considered.

Publisher

Zeal Press

Reference31 articles.

1. Lubbe N, Jeppsson H, Ranjbar A, Fredriksson J, Bärgman J and Östling M. Predicted road traffic fatalities in Germany: The potential and limitations of vehicle safety technologies from passive safety to highly automated driving. Proceedings of IRCOBI conference, 2018, Athens, Greece.

2. Östling M, Lubbe N and Jeppsson H. Predicted crash configurations for Autonomous Driving vehicles in mixed German traffic for the evaluation of occupant restraint system. VDI-Conference "Vehicle Safety" 27th and 28th November 2019, Berlin, Germany. https://doi.org/10.51202/9783181023648-365

3. Wang L, Fahrenkrog F, Vogt T, Jung O, and Kates R. Prospective safety assessment of highly automated driving functions using stochastic traffic simulation. The 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2017, Detroit, Michigan USA.

4. Martin Östling, Christer Lundgren, Nils Lubbe, Andreas Huf, Philipp Wernicke and Bengt Pipkorn. The Influence of a Seat Track Load Limiter on Lumbar Spine Compression Forces in Relaxed, Reclined, and Upright Seating Positions: A Sled Test Study using THOR-50M. Proceedings of IRCOBI conference, 2021.

5. Filatov A, Scanlon JM, Bruno A, Danthurthi SSK and Fisher J. Effects of innovation in automated vehicles on occupant compartment designs, evaluation, and safety: A review of public marketing, literature, and standards. SAE Technical Paper 2019-01-1223, 2019. https://doi.org/10.4271/2019-01-1223

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