Specification, estimation and validation of a pedestrian walking behavior model
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 ; Discrete-Choice Models ; Nested Logit Model ; Personal-Space ; Interpersonal Distance ; Dynamics ; Exploration ; Boundary ; Tracking
Record created on 2009-06-15, modified on 2017-02-16