Urban Transport Mode Split Prediction: A Hybrid Deep Learning Framework Considering Spatiotemporal Dependency

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Juanjuan Zhao, Hao Yan, Li Sun, Furong Zheng, Xitong Gao, Fan Zhang, Kejiang Ye, Cheng-Zhong Xu

Published: 2025, Last Modified: 27 Nov 2025IEEE Trans. Intell. Transp. Syst. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Transport Mode Split (TMS) represents the distribution of trips among transport modes between city regions. Accurate TMS prediction is crucial for urban planning and traffic management. Traditional methods, such as curve models and discrete choice models, often fail to capture user travel mode p