Real-Time Traffic Conflict Prediction at Intersections: A Novel Approach Integrating Statistical Models and Machine Learning

Real-Time Traffic Conflict Prediction at Intersections: A Novel Approach Integrating Statistical Models and Machine Learning

Real-time traffic conflict prediction is crucial for developing proactive safety management strategies and improving overall traffic safety. However, existing studies have failed to fully consider the entire process of traffic conflict generation at both signalized and unsignalized intersections. Gi...

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Bibliographic Details
Main Authors: Chuanyun Fu, Jiaming Liu, Huahua Liu, Xiaoli Wang, Zhaoyou Lu, Jushang Ou, Wei Bai
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/atr/2239983
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