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 |
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Other Authors: | College of Computing and Data Science |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/179465 |
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Institution: | Nanyang Technological University |
Language: | English |
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