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A general and operational representation of GEV models

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The estimation of Generalized Extreme Value models from choice-based samples

Michel Bierlaire

In the presence of choice-based sampling strategies for data collection, the property of Multinomial Logit (MNL) models, that consistent estimâtes of all parameters but the constants can be obtained from an Exogenous Sample Maximum Likelihood (ESML) estima ...

2008

Normalization of network generalized extreme value models

Jeffrey Newman

Abstract Generalized extreme value (GEV) models provide a convenient way to model choice behavior that is consistent with utility maximization theory, but the development of specific new models within the GEV family has been slow, due to the difficulty of ...

2008

Capturing correlation with subnetworks in route choice models

Michel Bierlaire, Emma Frejinger

When using random utility models for a route choice problem, a critical issue is the significant correlation among alternatives. There are basically two types of models proposed in the literature to address it: (i) a deterministic correction of the path ut ...

2007

Normalization and correlation of cross-nested logit models

Michel Bierlaire, Emmanuel Abbé

We address two fundamental issues associated with the use of cross-nested logit models. On the one hand, we justify the adequate normalization of the model proposed by Wen and Koppelman (2001). On the other hand, we provide an analysis of the correlation s ...

2007

The estimation of multivariate extreme value models from choice-based samples

Michel Bierlaire

We consider an estimation procedure for discrete choice models in general and Multivariate Extreme Value (MEV) models in particular. It is based on a pseudo-likelihood function, generalizing the Conditional Maximum Likelihood (CML) estimator by Manski and ...

2007

Sampling of Alternatives for Route Choice Modeling

Michel Bierlaire, Emma Frejinger

This paper presents a new paradigm for choice set generation in the context of route choice. We assume that the choice sets contain all paths connecting each origin-destination pair. These sets are in general impossible to generate explicitly. Therefore, w ...

2007

Sampling of alternatives using multidimensional analysis

Michel Bierlaire

Discrete choice models in general and random utility models in particular may be intractable when the number of alternatives is large. In the transportation context, it typically happens for route choice and destination choice models. In the specific case ...

2007

A General and Operational Representation of Generalised Extreme Value Models

Michel Bierlaire

Generalised extreme value models provide an interesting theoretical framework to develop closed-form random utility models. Unfortunately, few instances of this family are to be found as operational models in practice. The form of the model, based on a gen ...

2006

Capturing Correlation in Route Choice Models using Subnetworks

Michel Bierlaire, Emma Frejinger

When using random utility models for a route choice problem, choice set generation and correlation among alternatives are two issues that make the modelling complex. In this paper, we propose a modelling approach where the path overlap is captured with a s ...

STRC 20062006

Capturing correlation in large-scale route choice models

Michel Bierlaire, Emma Frejinger

When using random utility models for a route choice problem, choice set generation and correlation among alternatives are two issues that make the modeling complex. In this paper we discuss different models capturing path overlap. First, we analyze several ...

2006