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Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
[article]
2022
arXiv
pre-print
Metro origin-destination prediction is a crucial yet challenging time-series analysis task in intelligent transportation systems, which aims to accurately forecast two specific types of cross-station ridership, i.e., Origin-Destination (OD) one and Destination-Origin (DO) one. However, complete OD matrices of previous time intervals can not be obtained immediately in online metro systems, and conventional methods only used limited information to forecast the future OD and DO ridership
arXiv:2107.00946v5
fatcat:glgtdvkjjfh2pofjumzi7wxpo4