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research article

Specification, estimation and validation of a pedestrian walking behavior model

Robin, Thomas  
•
Antonini, Gianluca  
•
Bierlaire, Michel  
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2009
Transportation Research Part B: Methodological

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.

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Type
research article
DOI
10.1016/j.trb.2008.06.010
Web of Science ID

WOS:000270655700003

Author(s)
Robin, Thomas  
Antonini, Gianluca  
Bierlaire, Michel  
Cruz, Javier  
Date Issued

2009

Published in
Transportation Research Part B: Methodological
Volume

43

Issue

1

Start page

36

End page

56

Subjects

Walking

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Pedestrian

•

Operational level

•

Microscopic model

•

Behavior model

•

Discrete choice model

•

Forecast model

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Cross nested logit model

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Dynamic choice set

•

Specification

•

Real data

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Estimation

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Validation

•

Cross-validation

•

Discrete-Choice Models

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Nested Logit Model

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Personal-Space

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Interpersonal Distance

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Dynamics

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Exploration

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Boundary

•

Tracking

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TRANSP-OR  
Available on Infoscience
June 15, 2009
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/40455
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