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Driver Injury Risk in Multi-vehicle Accidents Involving Autonomous Vehicle Platooning
School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China, Hunan; Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha 410114, Hunan, China, Hunan.
School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China, Hunan; Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha 410114, Hunan, China, Hunan.
School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China, Hunan; Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha 410114, Hunan, China, Hunan.
School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China, Hunan; Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha 410114, Hunan, China, Hunan.
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2025 (English)In: Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, ISSN 1001-7372, Vol. 38, no 1, p. 348-358Article in journal (Refereed) Published
Abstract [en]

The development of autonomous vehicle platoons will lead to new accident patterns. Insufficient research exists on occupant injury and protection associated with this new type of accident. To provide a reference for the research and technological development of occupant protection in autonomous vehicle platoon collisions, a continuous crash accident scenario involving a typical three-car autonomous vehicle platoon under high-speed conditions was utilized to determine boundary conditions such as impact time and speed. A full-scale finite element simulation was conducted to obtain the driver kinematics and injury response in each collision condition, and driver injury risk in the autonomous vehicle platoon collision scenarios was analyzed. The results show that although the risk of skull fracture is less than 1%, the risk of severe craniocerebral injury is significant, with the highest predicted risk of AIS 3+ using the BrIC criterion reaching 70.2%. Owing to excessive forward bending and backward extension of the cervical spine, three types of ligaments are at risk of serious injury. Furthermore, the risk of chest rib fracture is relatively low, whereas the risk of viscera damage is contingent on the collision sequence. When the middle car first experiences a frontal collision and is then rear-ended, the maximum principal strain on the driver's heart and liver far exceeds the damage threshold of 0.3, resulting in significant damage risk. Conversely, when the middle car is rear-ended and then collides with the front car, the maximum principal strain on the driver's internal organs is less than 0.3, resulting in a low overall damage risk.

Place, publisher, year, edition, pages
Chang'an University , 2025. Vol. 38, no 1, p. 348-358
Keywords [en]
automotive engineering, autonomous vehicle platoon, finite element method, multiple vehicle accident, occupant injury
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-360186DOI: 10.19721/j.cnki.1001-7372.2025.01.024Scopus ID: 2-s2.0-85217086260OAI: oai:DiVA.org:kth-360186DiVA, id: diva2:1938803
Note

QC 20250220

Available from: 2025-02-19 Created: 2025-02-19 Last updated: 2025-02-20Bibliographically approved

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