What question did this study set out to answer?

To develop head injury risk prediction models based on a large-scale simulation dataset.

December 9, 2025

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

Key Points

To develop head injury risk prediction models based on a large-scale simulation dataset.
Established a large-scale database for head injury analysis
Analyzed factors affecting head injury risk in vehicle-pedestrian collisions
Conducted headform testing for specific WAD value ranges
Findings suggest reevaluation of performance criteria for regions with WAD values of 1,000 to 1,500 mm
Indicates necessary adjustments to meet HIC15 tolerance limits for children and small-size pedestrians

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 HIC15 tolerance limits for children and small-size pedestrians.

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Cite this study

Wu et al. (Tue,) studied this question.

synapsesocial.com/papers/69401ef02d562116f28f95b0 — DOI: https://doi.org/10.1080/15389588.2025.2588791

Authors

He Wu

West Anhui University

Yong Han

Xiamen University

Gong Dongmei

Journals

Traffic Injury Prevention

Actions

Institutions

Xiamen University of Technology

West Anhui University

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

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

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion