Investigation of impact factors in frontal collisions involving powered two-wheelers and cars
DOI:
https://doi.org/10.15282/ijame.23.1.2026.18.1016Keywords:
Frontal collision accident, PTW, Head injury analysis, Accident reconstructionAbstract
Powered two-wheelers (PTWs) are highly vulnerable in road traffic accidents, with frontal collisions with cars frequently resulting in severe or fatal rider head injuries. However, while most research has focused on vehicle collisions and head injuries, studies on the influencing factors of rider head injuries in collisions where the vehicle front impacts the powered two-wheeler remain relatively limited. This study employs an orthogonal experimental design to conduct a simulation analysis of frontal collisions between cars and PTWs (motorcycles and electric two-wheelers). It investigates the impact of multiple factors, including vehicle speed, collision angle, and vehicle type, on rider head injuries. By reconstructing typical traffic accidents and combining multi-body dynamics models with human dummy models, the study quantifies variations in the Head Injury Criterion (HIC15) and the 3-millisecond acceleration peak (3 ms Clip). Results from the range analysis indicate that vehicle speed is the primary factor influencing HIC15 (Range value of 835.29), while collision angle most significantly affects the 3 ms Clip (Range value of 70.60). The research reveals significant differences in rider head injuries under various collision conditions and quantifies vehicle speed as the dominant factor for severe head injuries (HIC15). Consequently, it is recommended that accident mitigation strategies prioritize speed-control measures to reduce rider mortality effectively.
References
[1] V. Haiquan, N. T. Tung, N. A. Ngoc, and D. N. Minh, "Application of Finite Elements to Analysis of Side Collision Problems of Vehicle: A Case Nissan Rogue 2020 SUV Model," International Journal of Automotive Science and Technology, vol. 9, no. 1, pp. 81-88, 2025.
[2] K.-H. Song, K. H. Kim, S. Choi, S. Elkosantini, S. M. Lee, and W. Suh, "Comprehensive Safety Index for Road Safety Management System," Sustainability, vol. 16, no. 1, p. 450, 2024.
[3] F. Wang, J. Yin, L. Hu, M. Wang, X. Liu, K. Miller, et al. "Should anthropometric differences between the commonly used pedestrian computational biomechanics models and Chinese population be taken into account when predicting pedestrian head kinematics and injury in vehicle collisions in China?," Accident Analysis & Prevention, vol. 173, p. 106718, 2022.
[4] Z. Zheng, F. Mo, T. Liu, and X. Li, "A Novel Neuromuscular Head-Neck Model and Its Application on Impact Analysis," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1394-1402, 2021.
[5] S. Yin, J. Li, and J. Xu, "Exploring the mechanisms of vehicle front-end shape on pedestrian head injuries caused by ground impact," Accident Analysis & Prevention, vol. 106, pp. 285-296, 2017.
[6] L. F. Gabler, J. R. Crandall, and M. B. Panzer, "Assessment of Kinematic Brain Injury Metrics for Predicting Strain Responses in Diverse Automotive Impact Conditions," Annals of Biomedical Engineering, vol. 44, no. 12, pp. 3705-3718, 2016.
[7] G. Crocetta, S. Piantini, M. Pierini, and C. Simms, "The influence of vehicle front-end design on pedestrian ground impact," Accident Analysis & Prevention, vol. 79, pp. 56-69, 2015.
[8] J.M. Wang, Z.D. Li, C.S. Cai, Y. Fan, X.B. Liao, F. Zhang, et al., "Parametric analysis of craniocerebral injury mechanism in pedestrian traffic accidents based on finite element methods," Chinese Journal of Traumatology, vol. 27, no. 4, pp. 187-199, 2024.
[9] A. Duan, M. Zhou, J. Qiu, C. Feng, Z. Yin, and K. Li, "A 6-year survey of road traffic accidents in Southwest China: Emphasis on traumatic brain injury," Journal of Safety Research, vol. 73, pp. 161-169, 2020.
[10] C. E. Baker, X. Yu, S. Patel, and M. Ghajari, "A Review of Cyclist Head Injury, Impact Characteristics and the Implications for Helmet Assessment Methods," Annals of Biomedical Engineering, vol. 51, no. 5, pp. 875-904, 2023.
[11] M. Fahlstedt, P. Halldin, and S. Kleiven, "Comparison of multibody and finite element human body models in pedestrian accidents with the focus on head kinematics," Traffic Injury Prevention, vol. 17, no. 3, pp. 320-327, 2016.
[12] Q. Wang, B. Yu, Y. Liu, J. Fei, Z. Liu, G. Zhang, et al., "Optimizing vehicle front-end structure for e-bike rider safety: An advanced multi-objective approach using injury prediction models," Accident Analysis & Prevention, vol. 207, p. 107754, 2024.
[13] W. Gao, "A study on the cyclist head kinematic responses in electric-bicycle-to-car accidents using decision-tree model," Accident Analysis & Prevention, vol. 160, p. 106305, 2021.
[14] Z. Chen, Q. Liu, Z. Zhang, J. Fu, B. Li, and Q. Li, "Effect of riding postures on kinematic responses and head injuries of ETW child passengers," International Journal of Crashworthiness, 2024.
[15] C.E. Baker, P. Martin, A. Montemeglio, R. Li, M. Wilson, D.J. Sharp, et al., "Inherent uncertainty in pedestrian collision reconstruction: How evidence variability affects head kinematics and injury prediction," Accident Analysis & Prevention, vol. 208, p. 107726, 2024.
[16] K.D. Neumann, V. Seshadri, X.D. Thompson, D.K. Broshek, J. Druzgal, J.C. Massey, et al., "Microglial activation persists beyond clinical recovery following sport concussion in collegiate athletes," Frontiers in Neurology, vol. 14, 2023.
[17] Y. Han, Y. He, D. Pan, L. Lin, Y. Chen, and H. Feng, "Effect of different helmets against ground impact based on the in-depth reconstruction of electric two-wheeler accidents," Computer Methods in Biomechanics and Biomedical Engineering, vol. 26, no. 4, pp. 460-483, 2023.
[18] T. Brooks, M. Garnich, and M. Jermy, "Sensitivity of material model parameters on finite element models of infant head impacts," Biomechanics and Modeling in Mechanobiology, vol. 20, no. 5, pp. 1675-1688, 2021.
[19] Z. B. Zhang, Q. Liu, D. L. Li, Y. Lu, J. Fu, R. Ran, et al., "Development of a finite element-multibody coupled model for child brain injury prediction in electric two-wheeler accidents," Results in Engineering, p. 109117, 2026.
[20] X. Yang, X. Chen, F. Zhang, T. Yang, J. Kong, X. Liao, et al., "Case analysis and finite element analysis of adult head skull fractures in people run over by motor vehicles," Forensic Sciences Research, vol. 10, no. 2, p. owaf007, 2025.
[21] L.I. Hai-Yan, L.I.U. Wen-Gang, C.U.I. Shi-Hai, H.E. Guang-Long, X.I.A. Peng, H.E. Li-Juan, et al., "Reconstruction and quantitative evaluation of blunt injury cases by finite element method," Journal of Forensic Medicine, vol. 38, no. 4, p. 452, 2022.
[22] L. Shi, Y. Han, H. Huang, J. Davidsson, and R. Thomson, "Evaluation of injury thresholds for predicting severe head injuries in vulnerable road users resulting from ground impact via detailed accident reconstructions," Biomechanics and Modeling in Mechanobiology, vol. 19, no. 5, pp. 1845-1863, 2020.
[23] F. Wang, Z. Geng, S. Agrawal, Y. Han, K. Miller, and A. Wittek, "Computation of Brain Deformations Due to Violent Impact: Quantitative Analysis of the Importance of the Choice of Boundary Conditions and Brain Tissue Constitutive Model," Computational Biomechanics for Medicine: From Algorithms to Models and Applications. Cham: Springer International Publishing, pp. 159-173, 2017.
[24] Y. Shim, J. Kim, H. S. Kim, J. Oh, S. Lee, and E. J. Ha, "Intracranial Pressure Monitoring for Acute Brain Injured Patients: When, How, What Should We Monitor," Korean Journal of Neurotrauma, vol. 19, no. 2, pp. 149-161, 2023.
[25] E. G. Takhounts, M. J. Craig, K. Moorhouse, J. McFadden, and V. Hasija, "Development of Brain Injury Criteria (BrIC)," SAE Technical Paper, 2013.
[26] R. Willinger and D. Baumgartner, "Human head tolerance limits to specific injury mechanisms," International Journal of Crashworthiness, vol. 8, no. 6, pp. 605-617, 2003.
[27] E.G. Takhounts, R.H. Eppinger, J.Q. Campbell, R.E. Tannous, E.D. Power, L.S. Shook, "On the development of the SIMon finite element head model," SAE Technical Paper, 2003.
[28] B. Yang, X. Zhang, Y. Zheng, P. Zhang, X. Li, J. Wu, et al., "Mechanical performance evaluation of negative-poisson’s-ratio honeycomb helmets in craniocerebral injury protection," Materials, vol. 18, no. 10, p. 2188, 2025.
[29] Y. Zhang, L. Tang, Y. Liu, B. Yang, Z. Jiang, Z. Liu, et al., "Consistency assessment of tissue-level brain injury criteria in FEHM," Computer Methods in Biomechanics and Biomedical Engineering, pp. 1-15, 2025.
[30] T. Xiong, Q. Luo, Q. Chen, L. Shi, A. Duan, S. Liu, et al., "Development of a repetitive traumatic brain injury risk function based on real-world accident reconstruction and wavelet packet energy analysis," Frontiers in Bioengineering and Biotechnology, vol. 13, p. 1548265, 2025.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 The Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




