Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams

Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams

Pedestrians, as the most vulnerable road users in traffic crashes, prompt transportation researchers and urban planners to prioritize pedestrian safety due to the elevated risk and growing incidence of injuries and fatalities. Thorough pedestrian crash data are indispensable for safety research, as...

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Bibliographic Details
Main Authors: Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
pedestrian
safety
crash diagrams
deep learning
image processing
CNN
Online Access:https://www.mdpi.com/2076-3417/15/6/2928
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