A systematic review of machine learning-based microscopic traffic flow models and simulations

Microscopic traffic flow models and simulations are crucial for capturing vehicle interactions and analyzing traffic. They can provide critical insights for transport planning, management, and operation through scenario testing and optimization. With the growing availability of high-resolution data...

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Bibliographic Details

Main Authors:	Rowan Davies, Haitao He, Hui Fang, Yasir Ali, Mohammed Quddus
Format:	Default Article
Published:	2025
Subjects:	Car-following (CF) Lane-changing (LC) Machine learning (ML) Traffic simulation Microscopic traffic flow model Traffic flow theory
Online Access:	https://hdl.handle.net/2134/28612007.v1
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