A Contrastive Learning Framework for Vehicle Spatio-Temporal Trajectory Similarity in Intelligent Transportation Systems

The rapid development of vehicular networks has facilitated the extensive acquisition of vehicle trajectory data, which serve as a crucial cornerstone for a variety of intelligent transportation system (ITS) applications, such as traffic flow management and urban mobility optimization. Trajectory si...

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Bibliographic Details

Published in:	Information
Main Authors:	Qiang Tong, Zhi-Chao Xie, Wei Ni, Ning Li, Shoulu Hou
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	intelligent transportation systems vehicle trajectory similarity representation learning contrastive learning
Online Access:	https://www.mdpi.com/2078-2489/16/3/232