Abstract
This study deals with the problems of pedestrian origin-destination (O-D) matrix estimation and activity/destination choice model calibration from pedestrian counts. A bi-level programming model is proposed that integrates the two steps of pedestrian O-D demand matrix updating and pedestrian activity/destination choice model calibration. The lower-level problem is the activity-based user equilibrium assignment model for pedestrian networks with bi-directional flow effects, while the upper-level problem is to estimate the O-D demands together with the calibration of the activity and destination choice model from pedestrian counts. A heuristic solution algorithm is adapted for solving the proposed bi-level programming problem. A numerical example is provided to illustrate the applications of the proposed model and solution algorithm.
