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.
@Article{RobiAntoBierCruz08,
author = {Thomas Robin and Gianluca Antonini and Michel Bierlaire and Javier Cruz},
title = {Specification, estimation and validation of a pedestrian walking behavior model},
journal = {Transportation Research Part B: Methodological},
year = {2009},
volume = {43},
number = {1},
pages = {36-56},
DOI = {10.1016/j.trb.2008.06.010},
note = {Accepted on Jun 11, 2008}}}