Analysing the effectiveness of unsignalized crossing infrastructure in improving pedestrian safety using multiple data-driven approaches

Analysing the effectiveness of unsignalized crossing infrastructure in improving pedestrian safety using multiple data-driven approaches

This study investigates the effectiveness of unsignalized crossings to enhance pedestrian safety through a robust data-driven approach utilizing multiple machine learning models, including the statistical classifier Logistic Regression, Decision Tree, Random Forest, and Neural Network Multi-Layer Pe...

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Bibliographic Details
Main Authors: Shengqi Liu, Harry Evdorides
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:IATSS Research
Subjects:
Pedestrian safety
Unsignalized crossings
Neural networks
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0386111225000226
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