Research on Identification of Rider-Passenger Relationship in Two-Wheeler Traffic Accidents Based on Kinematics and Trace Examination
DOI: https://doi.org/10.62381/I265404
Author(s)
Feng Qin1,2, Danju Huang3
Affiliation(s)
1Experimental Center of Hubei University of Police, Wuhan, Hubei, China
2Hubei Sanzhen Forensic Identification Center, Wuhan, Hubei, China
3Wuhan Vocational College of Police Officers, Wuhan, Hubei, China
Abstract
In the analysis of two-wheeler traffic accident patterns, a three-dimensional integrated identification system for driver-passenger relationships, namely “trace–motion–injury”, is established through systematic analysis of core elements such as the motion state of two-wheelers, distribution patterns of traces, the relationship between receiving surfaces and trace-forming objects, injury mechanisms and causative instruments. The entire accident process is reconstructed based on kinematic principles, with kinematic analysis as the core to achieve dynamic reconstruction of the full accident sequence. Combined with the structural characteristics and operational features of two-wheelers, multi-dimensional fitting is carried out from the perspectives of trace formation mechanism, vehicle running trajectory and injury formation logic, thereby realizing precise trace examination and correlation verification. Finally, the actual rider of the two-wheeler is scientifically determined. This method proposes a multi-dimensional fitting identification approach, providing reliable technical support and practical reference for the identification of driver-passenger relationships in complex two-wheeler traffic accidents.
Keywords
Traffic Accident; Two-Wheeler; Driver-Passenger Relationship; Driver
References
[1] Ministry of Justice of the People's Republic of China. SF/T 0162-2023 Specification for Identification of Traffic Behavior Patterns of Persons Involved in Road Traffic Accidents. Beijing: China Standards Press, 2023.
[2] Ministry of Public Security of the People's Republic of China. GA/T 944-2011 Specification for Investigation and Evidence Collection for Identification of Motor-Vehicle Drivers in Road Traffic Accidents. Beijing: China Standards Press, 2011.
[3] ZHAO Minghui, LI Lili, FENG Hao. Identification of Traffic Behavior Patterns of Persons Involved in Road Traffic Accidents. Beijing: Science Press, 2019.
[4] WU Ruiliang, HE Huazhang, SU Zhongmei, SUN Yan, et al. Forensic identification of the rider-passenger relationship in a two-wheeled motorcycle under a typical collision pattern: one case report. Chinese Journal of Forensic Sciences, 2018(6): 108-110.
[5] QIN Feng. Research on trace-based judgment methods in traffic hit-and-run cases. Journal of Hubei University of Police, 2018(1): 64-71.
[6] ZHAO Minghui, JIANG Zhenfei, FENG Hao. Identification of bicyclists' riding/pushing status in road traffic accidents. Auto & Safety, 2026(2): 87-92.
[7] LING Zhihui. Application of trace analysis in determining the traffic behavior patterns of bicyclists involved in cases. Road Traffic Management, 2023(9): 48-51.
[8] ZHAO Minghui, JIANG Zhenfei, LI Wei, ZHANG Peifeng. Recognition and application of common road-traffic-accident injuries in forensic identification of traffic behavior patterns. Chinese Journal of Forensic Sciences, 2024(3): 94-101.
[9] XIE Xianqi, JIN Yushi. Identification of a passenger-car driver through analysis of injury characteristics: one case report. Guangdong Public Security Technology, 2017(2): 71-80.
[10] QIN Feng, HUANG Danju. Physical application of key traces in analysis of vehicle collision patterns. Journal of China Criminal Police University, 2018(5): 101-104.