Research Article
MDGCN: Multiple Graph Convolutional Network Based on the Differential Calculation for Passenger Flow Forecasting in Urban Rail Transit
| Input: Historical passenger flow (described in Section 4.2.); | , (described in Section 3.1.1). | Output: Passenger flow of . | Process: | (1) | for i = 1, 2, …, n do | (2) | by equation (7) | (3) | by equation (8) | (4) | by equations (10) and (11) | (5) | | (6) | | (7) | end | (8) | (Forecasted passenger flow of all stations) |
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