Capturing interactioons in pedestrian walking behavior in a discrete choice framework

In this paper we propose a general framework for pedestrian walking behavior, based on discrete choice modeling. Two main behaviors are identified: unconstrained and constrained. The constrained patterns are further classified into attractive interactions and repulsive interactions. The formers are captured by a leader-follower model while the latters through a collision avoidance model. The spatial correlation between the alternatives is taken into account defining a cross nested logit model. Quantitative analysis is performed by maximum likelihood estimation on a real dataset of pedestrian trajectories, manually tracked from video sequences.


Presented at:
6th Swiss transport Research Conference, Ascona, March 15-17, 2006
Year:
2006
Publisher:
strc.ch, STRC 2006
Keywords:
Note:
RO 06 03 171
Laboratories:




 Record created 2006-03-27, last modified 2018-05-12

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