Macroscopic traffic flow modelling of large-scale freeway networks with field data verification: State-of-the-art review, benchmarking framework, and case studies using METANET

•This work focuses on macroscopic traffic flow model calibration and validation of large freeway networks.•An intensive literature review is presented on the subject to determine the strengths and weaknesses of various technical paths, and figure out a viable roadmap for future studies.•The paper pr...

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Vydané v:	Transportation research. Part C, Emerging technologies Ročník 145; s. 103904
Hlavní autori:	Wang, Yibing, Yu, Xianghua, Guo, Jinqiu, Papamichail, Ioannis, Papageorgiou, Markos, Zhang, Lihui, Hu, Simon, Li, Yongfu, Sun, Jian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2022
Predmet:	Accidents Capacity drop Congestion tracking Freeway traffic flow model calibration and validation Traffic flow inhomogeneity Weather conditions Freeway traffic flow model calibration and validation Traffic flow inhomogeneity Capacity drop Congestion tracking Weather conditions Accidents
ISSN:	0968-090X, 1879-2359
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