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

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

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.

External IDs:dblp:journals/inffus/KouZYZWYZ26