arbiter
JournalsAccount

Prediction of the pedestrian landing mechanism in pedestrian-vehicle collisions

Tiefang Zou et al.

International Journal of Vehicle Design: journal of vehicle engineering, automotive technology and components2025https://doi.org/10.1504/ijvd.2025.151994article
ABDC B
Weight
0.50

Abstract

The pedestrian-ground injuries in pedestrian-vehicle collision have always been a research focus. This study explores the prediction model of pedestrian landing mechanism in pedestrian-vehicle collision. First, seven important parameters before, during and after the collision were extracted from 1300 cases. The obtained parameters are converted into input parameters through principal component analysis (PCA). Finally, the pedestrian landing mechanism prediction model under default parameters is constructed based on back-propagation neural network (BPNN), genetic algorithm (GA) optimised BPNN (GA-BPNN), support vector machine (SVM), decision tree (DT) and Random Forest (RF). The results showed that the GA-BPNN model is the optimal model under default parameters; the performance of GA-BPNN was improved after hyperparameter optimisation, and the prediction accuracy of the improved GA-BPNN (IGA-BPNN) model was 76.78%, 94.86% and 95.09%, respectively. Considering the pedestrian landing mechanism can significantly reduce the risk of vehicle braking control method and improve the protection efficiency.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijvd.2025.151994

Or copy a formatted citation

@article{tiefang2025,
  title        = {{Prediction of the pedestrian landing mechanism in pedestrian-vehicle collisions}},
  author       = {Tiefang Zou et al.},
  journal      = {International Journal of Vehicle Design: journal of vehicle engineering, automotive technology and components},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijvd.2025.151994},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Prediction of the pedestrian landing mechanism in pedestrian-vehicle collisions

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.