A multi-scale attributes fusion model for travel mode identification using GPS trajectories

A multi-scale attributes fusion model for travel mode identification using GPS trajectories

Travel mode recognition is a key issue in urban planning and transportation research. While traditional travel surveys use manual data collection and have limited coverage, poor timeliness, and insufficient sample capacity, recent advancements in Global Positioning System (GPS) technology allow larg...

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Bibliographic Details
Main Authors: Kunkun Fan, Daichao Li, Xinlei Jin, Sheng Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-08-01
Series:Geo-spatial Information Science
Subjects:
GPS trajectory
travel mode identification
trajectory segmentation
multi-scale attributes
spatio-temporal convolution
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2381602

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2024.2381602

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