A survey on long-term traffic prediction from the information fusion perspective: Requirements, methods, applications, and outlooks

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Feifei Kou, Ziyan Zhang, Yuhan Yao, Yuxian Zhu, Jiahao Wang, Ruiping Yuan, Yifan Zhu

Published: 2026, Last Modified: 07 Jan 2026Inf. Fusion 2026EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Conducts a systematic review of long-term traffic prediction via information fusion.•Constructs a comprehensive knowledge framework from four major aspects.•Delineates standardized research benchmark including datasets and evaluation metrics.•Identifies key challenges and future directions in long-term traffic prediction.