The problem of route choice is critical in many contexts, for example in intelligent transport systems, GPS navigation and transportation planning. In order to capture the complexity of the decision process, disaggregate models, such as discrete choice models are required. In the Multinomial Logit (MNL) model, the alternatives are assumed to be independent. This assumption is not valid in a route choice context due to overlapping paths. Several adaptations of the MNL model have therefore been proposed in the literature, thereof the Path Size Logit model. In this paper we show that, except the original formulation, all Path Size formulations presented in the literature show counter intuitive results regarding the correction of the independen...
Generalized extreme value (GEV) specifications, such as cross nested logit (CNL) and generalized nes...
The multinomial logit model in discrete choice analysis is widely used in transport research. It has...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
Overlap in route choice is a well-known problem in travel analysis. Because of overlap, alternatives...
The path size logit (PSL) aims at capturing correlations between path alternatives by including a co...
This paper presents a new paradigm for choice set generation in the context of route choice model es...
A Logit-based route choice model is proposed to address the overlapping and scaling problems in the ...
Path Size Logit route choice models attempt to capture the correlation between routes by including c...
This paper considers the path choice problem, formulating and discussing an econometric random utili...
When using random utility models for a route choice problem, choice set generation and correlation a...
When using random utility models for a route choice problem, choice set generation and cor-relation ...
A behavioural and a modelling framework are proposed for representing route choice from a path set t...
Models of urban traveler route choice are reviewed in the context of Intelligent Transportation Syst...
Few of the recently developed route choice models have actually been applied in traffic assignment p...
We propose a route choice model that relaxes the independence from irrelevant alternatives property ...
Generalized extreme value (GEV) specifications, such as cross nested logit (CNL) and generalized nes...
The multinomial logit model in discrete choice analysis is widely used in transport research. It has...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
Overlap in route choice is a well-known problem in travel analysis. Because of overlap, alternatives...
The path size logit (PSL) aims at capturing correlations between path alternatives by including a co...
This paper presents a new paradigm for choice set generation in the context of route choice model es...
A Logit-based route choice model is proposed to address the overlapping and scaling problems in the ...
Path Size Logit route choice models attempt to capture the correlation between routes by including c...
This paper considers the path choice problem, formulating and discussing an econometric random utili...
When using random utility models for a route choice problem, choice set generation and correlation a...
When using random utility models for a route choice problem, choice set generation and cor-relation ...
A behavioural and a modelling framework are proposed for representing route choice from a path set t...
Models of urban traveler route choice are reviewed in the context of Intelligent Transportation Syst...
Few of the recently developed route choice models have actually been applied in traffic assignment p...
We propose a route choice model that relaxes the independence from irrelevant alternatives property ...
Generalized extreme value (GEV) specifications, such as cross nested logit (CNL) and generalized nes...
The multinomial logit model in discrete choice analysis is widely used in transport research. It has...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...