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

Davies Rowan Haitao He Fang Hui Ali Yasir Quddus Mohammed

交通研究通讯（英文）2025，Vol.5Issue(1)：1-19,19.

交通研究通讯（英文）2025，Vol.5Issue(1)：1-19,19.DOI:10.1016/j.commtr.2025.100164

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

Davies Rowan ¹Haitao He ¹Fang Hui ²Ali Yasir ¹Quddus Mohammed³

作者信息

1. Department of Architecture,Building and Civil Engineering,Loughborough University,Loughborough,LE11 3TU,UK
2. Department of Computer Science,Loughborough University,Loughborough,LE11 3TU,UK
3. Centre for Transport Engineering and Modeling,Department of Civil and Environmental Engineering,Imperial College London,London,SW7 2AZ,UK
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摘要

关键词

Car-following(CF)/Lane-changing(LC)/Machine learning(ML)/Traffic simulation/Microscopic traffic flow model/Traffic flow theory

Key words

Car-following(CF)/Lane-changing(LC)/Machine learning(ML)/Traffic simulation/Microscopic traffic flow model/Traffic flow theory

引用本文复制引用

Davies Rowan,Haitao He,Fang Hui,Ali Yasir,Quddus Mohammed..A systematic review of machine learning-based microscopic traffic flow models and simulations[J].交通研究通讯（英文）,2025,5(1):1-19,19.

基金项目

This research was partially funded by UK Research and Innovation(UKRI)(Grant No.MR/X03500X/1). （UKRI）

交通研究通讯（英文）

ISSN：2772-4247

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