A multi-scale attributes attention model for transport mode identification

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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Bibliographic Details
Main Authors: Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan, Ou, Changhai, Ai, Dihao
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Travel mode identification
GPS trajectory
Online Access:https://hdl.handle.net/10356/179465

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