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Capturing interactions in pedestrian walking behavior in a discrete choice framework

Publications associées (34)

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This paper establishes that every random utility discrete choice model (RUM) has a representation that can be characterized by a choice-probability generating function (CPGF) with specific properties, and that every function with these specific properties ...

2010

Specification, estimation and validation of a pedestrian walking behavior model

Michel Bierlaire, Gianluca Antonini, Javier Cruz Mota, Thomas Robin

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 i ...

2009

Discrete choice models are constantly in evolution in the literature. Since they enable to capture wide range of situations, they have been widely used by researchers and also practitioners in several fields of applications including econometrics and trans ...

2009

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

2009

Safe density ratio modeling

Kjell Konis

An important problem in logistic regression modeling is the existence of the maximum likelihood estimators. In particular, when the sample size is small, the maximum likelihood estimator of the regression parameters does not exist if the data are completel ...

2009

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

BIOGEME is a free software package for estimating by maximum likelihood a broad range of random utility models. It can estimate particularly Multivariate Extreme Value (MEV) models including the logit model, the nested logit model, the cross-nested logit m ...

2009

Properties, advantages, and drawbacks of the block logit model

Michel Bierlaire, Jeffrey Newman

This paper proposes a block logit (BL) model, which is an alternative approach to incorporating covariance between the random utilities of alternatives into a GEV random utility maximization model. The BL is similar to the nested logit (NL), in that it is ...

2009

Validation of a discrete choice model in the context of pedestrian walking behavior

Michel Bierlaire, Gianluca Antonini, Javier Cruz Mota, Thomas Robin

We have developed a model for pedestrian walking behavior, based on discrete choice modeling. The model is estimated by maximum likelihood estimation on a real data set of pedestrian trajectories, manually tracked from video sequences filmed in Japan. The ...

2009

Modelling human perception of static facial expressions

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Barbara Cerretani

Data collected through a recent web-based survey show that the perception (i.e. labeling) of a human facial expression by a human observer is a subjective process, which results in a lack of a unique ground-truth, as intended in the standard classification ...

2008

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2008