期刊
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
卷 43, 期 1, 页码 36-56出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2008.06.010
关键词
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
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. (C) 2008 Elsevier Ltd. All rights reserved.
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