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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الحاوية / القاعدة:	Information
المؤلفون الرئيسيون:	Qiang Tong, Zhi-Chao Xie, Wei Ni, Ning Li, Shoulu Hou
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2025-03-01
الموضوعات:	intelligent transportation systems vehicle trajectory similarity representation learning contrastive learning
الوصول للمادة أونلاين:	https://www.mdpi.com/2078-2489/16/3/232