Specification, estimation and validation of a pedestrian walking behavior model

Th. Robin, G. Antonini, M. Bierlaire and J. Cruz

Transportation Research Part B: Methodological, 2009, vol. 43, issue 1, 36-56

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 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)

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