Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs

Accurate traffic prediction plays a vital role in intelligent transport managements and applications. However, in the vast majority of existing works, the focus is mainly on modeling spatiotemporal correlations in static traffic networks. Thus, the continuous expansion and evolution of traffic netwo...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2023-07, Vol.24 (7), p.1-12
Hauptverfasser:	Wang, Binwu, Zhang, Yudong, Shi, Jiahao, Wang, Pengkun, Wang, Xu, Bai, Lei, Wang, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Consolidation continuous learning expanding road networks Graphs Learning public transportation Roads Spatiotemporal data mining Traffic models traffic prediction Transportation networks
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