Analysis of head injury risk in vehicle to pedestrian collisions using a large-scale simulation dataset

This study established a reliable large-scale database for the development of head injury risk prediction models. Through analyzing the effects of various factors on head injury risk indicates that in headform testing, for regions with WAD values between 1,000 and 1,500 millimeters, the performance criteria for each grid point should be reevaluated to accommodate the HIC<sub>15</sub> tolerance limits for children and small-size pedestrians.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-12-09
DOI
https://doi.org/10.1080/15389588.2025.2588791
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
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article

Analysis of head injury risk in vehicle to pedestrian collisions using a large-scale simulation dataset

Changchun Zhang, Yong Han, He Wu, Gong Dongmei
Traffic Injury Prevention
Automotive and Human Injury Biomechanics
article

Analysis of head injury risk in vehicle to pedestrian collisions using a large-scale simulation dataset

Changchun Zhang, Yong Han, He Wu, Gong Dongmei
article en

Abstract

This study established a reliable large-scale database for the development of head injury risk prediction models. Through analyzing the effects of various factors on head injury risk indicates that in headform testing, for regions with WAD values between 1,000 and 1,500 millimeters, the performance criteria for each grid point should be reevaluated to accommodate the HIC<sub>15</sub> tolerance limits for children and small-size pedestrians.

Traffic Injury Prevention
West Anhui University (CN), Xiamen University of Technology (CN)
Openalex Percentile: Top 42%
Automotive and Human Injury Biomechanics
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Analysis of head injury risk in vehicle to pedestrian collisions using a large-scale simulation dataset — Changchun Zhang, Yong Han, et al. · Traffic Injury Prevention (2025) | TGRS Research Map | TGRS