Citation

Robin T, Antonini G, Bierlaire M, Cruz J. Transp. Res. B Methodol. 2009; 43(1): 36-56.

Copyright

(Copyright © 2009, Elsevier Publishing)

DOI

10.1016/j.trb.2008.06.010

PMID

unavailable

Abstract

We propose and validate a model for pedestrian walking behavior, based on discrete choice modeling. Two main types of behavior are identified: unconstrained and constrained. By unconstrained, we refer to behavior patterns which are independent from other individuals. The constrained patterns are captured by a leader–follower model and by a collision avoidance model. The spatial correlation between the alternatives is captured by a cross nested logit model. The model is estimated by maximum likelihood estimation on a real data set of pedestrian trajectories, manually tracked from video sequences. The model is successfully validated using a bi-directional flow data set, collected in controlled experimental conditions at Delft university. Keywords: Walking; Pedestrian; Operational level; Microscopic model; Behavior model; Discrete choice model; Forecast model; Cross nested logit model; Dynamic choice set; Specification; Real data; Estimation; Validation; Cross-validation