Literature DB >> 31928226

Occupant kinematics and biomechanics during frontal collision in autonomous vehicles-can rotatable seat provides additional protection?

Hequan Wu1,2, Haibin Hou1,2, Ming Shen2, King H Yang2, Xin Jin2.   

Abstract

In a highly autonomous vehicle (HAV), the rotatable seat is likely to be designed to facilitate ease of communication between the occupants. We hypothesize that the protective effects of current restraint systems vary among different seating configurations and that by using the rotational seat to alter the occupant's orientation in accordance with the direction of impact, occupants will be better protected. Moreover, in HAVs, it's likely that an imminent impact could be detected at a time of 200 ms, or even longer, prior to the initial contact. The availability of this additional time could be used strategically to actively position the occupants into a safer position for impact.Finite element simulations were performed using the THUMS model to test the hypothesis. The simulation results indicated that during a frontal impact, the backward-facing occupant is safer than occupants in other seating orientations. Moreover, 200 ms is sufficient to rotate the occupant by ±45° and ±90° without introducing additional injuries. Finally, the timing of the post-rotation impact also plays a role in injury risk of the rear-facing impact. Further studies are needed to optimize the rotating seat parameters in order to maintain occupant posture and improve crash safety in HAVs.

Keywords:  Highly autonomous vehicles; finite element method; injury risk; occupant kinematics; seating orientation

Mesh:

Year:  2020        PMID: 31928226     DOI: 10.1080/10255842.2019.1710496

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  2 in total

1.  Exploration of Driver Posture Monitoring Using Pressure Sensors with Lower Resolution.

Authors:  Mingming Zhao; Georges Beurier; Hongyan Wang; Xuguang Wang
Journal:  Sensors (Basel)       Date:  2021-05-12       Impact factor: 3.576

2.  Data Augmentation of Automotive LIDAR Point Clouds under Adverse Weather Situations.

Authors:  Jose Roberto Vargas Rivero; Thiemo Gerbich; Boris Buschardt; Jia Chen
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

  2 in total

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