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.


Published in:
Transportation Research Part B: Methodological, 43, 1, 36-56
Year:
2009
ISSN:
0191-2615
Keywords:
Laboratories:




 Record created 2009-06-15, last modified 2018-03-17


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