Missing imputation and short-term prediction of urban traffic flow based on spatiotemporal view learning

doi:10.11947/j.AGCS.2024.20230304.

Acta Geodaetica et Cartographica Sinica ›› 2024, Vol. 53 ›› Issue (10): 2037-2037.doi: 10.11947/j.AGCS.2024.20230304.

• Summary of PhD Thesis • Previous Articles

Missing imputation and short-term prediction of urban traffic flow based on spatiotemporal view learning

Peixiao WANG¹^,²()

^1.State Key Lab of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
^2.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Received:2023-07-21 Published:2024-11-26

Abstract

CLC Number:

P208

Peixiao WANG. Missing imputation and short-term prediction of urban traffic flow based on spatiotemporal view learning[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(10): 2037-2037.

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Missing imputation and short-term prediction of urban traffic flow based on spatiotemporal view learning

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