A multi-scale attributes attention model for transport mode identification

Transport mode identification (TMI), which infers the travel modes of user trajectories, is essential to facilitate an understanding of urban mobility patterns and passengers’ choice behaviors with the goal of improving urban transportation systems. To achieve higher accuracy, existing TMI methods u...

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Main Authors: Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan, Ou, Changhai, Ai, Dihao
其他作者: College of Computing and Data Science
格式: Article
語言:English
出版: 2024
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在線閱讀:https://hdl.handle.net/10356/179465
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機構: Nanyang Technological University
語言: English