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Data-driven Modeling of Car-Following Behavior on Freeways Considering Spatio-Time Effects: A Comparison of Different Neural Network Structures
Car-following behavior models based on conventional mathematical models cannot adequately reproduce traffic phenomena, such as traffic breakdown, capacity drop, and oscillations, and require parameter setting. Therefore, this study aims to construct a highly accurate car-following behavior model usi...
Autores principales: | Kinoshita, Masahiro, Shiomi, Yasuhiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984741/ http://dx.doi.org/10.1007/s13177-022-00339-9 |
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