Robin, T., Antonini, G., Bierlaire, M., and Cruz, J. (2009)
Specification, estimation and validation of a pedestrian walking behavior model, Transportation Research Part B: Methodological 43(1):36-56.
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.
doi:10.1016/j.trb.2008.06.010 (click here for the full paper)