Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques

<div>Dynamic OD matrix estimation of passenger flow. (a) OD passenger volume from 7:00 to 7:30. (b) OD passenger volume from 7:30 to 8:00. (c) OD passenger volume from 8:00 to 8:30. (d) OD passenger volume from 8:30 to 9:00.</div>

Journal of Advanced Transportation

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Figure 12

Figure 12: Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques 

Figure 12 | Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques 