Few of the recently developed route choice models have actually been applied in traffic assignment problems. This paper discusses the implementation of selected route choice models in stochastic user equilibrium algorithms. The focus of the paper is on path-based assignment, which is essential in the implementation of route choice models. The paper analyzes the effect of choice set size and selected choice models on problem convergence, running time and selected results. The results presented in the paper indicate that for real-size networks, generation of a large number of alternative routes is needed. Furthermore, convergence properties greatly improve if the generated routes are sufficiently disjointed
Route choice is one of the most complex decision-making contexts to represent mathematically, and th...
We consider the application of reference-dependent consumer choice theory to traffic assignment on t...
Route choice is one of the most complex decision-making contexts to represent mathematically, and t...
In this paper we present a new point of view on choice set generation and route choice modeling. Cho...
Large scale applications of behaviorally realistic transport models pose several challenges to trans...
Traffic assignment models can be classified according to the behavioral assumption governing route c...
Bounded Path Size (BPS) route choice models (Duncan et al, 2021) offer a theoretically consistent an...
Simulation-based dynamic traffic assignment (DTA) models play a vital role in transportation plannin...
In current practice, there are two main concepts to handle the route set in an equilibrium route cho...
Stochastic User Equilibrium (SUE) models allow the representation of the perceptual and preferential...
This paper focuses on solving stochastic assignment with several types of vehicles, for instance adv...
AbstractWe consider the application of reference-dependent consumer choice theory to traffic assignm...
This study aims to make an objective comparative analysis between the relative significance of three...
In this paper a general fixed-point approach dealing with multi-user (stochastic) equilibrium assign...
This paper presents a new paradigm for choice set generation in the context of route choice model es...
Route choice is one of the most complex decision-making contexts to represent mathematically, and th...
We consider the application of reference-dependent consumer choice theory to traffic assignment on t...
Route choice is one of the most complex decision-making contexts to represent mathematically, and t...
In this paper we present a new point of view on choice set generation and route choice modeling. Cho...
Large scale applications of behaviorally realistic transport models pose several challenges to trans...
Traffic assignment models can be classified according to the behavioral assumption governing route c...
Bounded Path Size (BPS) route choice models (Duncan et al, 2021) offer a theoretically consistent an...
Simulation-based dynamic traffic assignment (DTA) models play a vital role in transportation plannin...
In current practice, there are two main concepts to handle the route set in an equilibrium route cho...
Stochastic User Equilibrium (SUE) models allow the representation of the perceptual and preferential...
This paper focuses on solving stochastic assignment with several types of vehicles, for instance adv...
AbstractWe consider the application of reference-dependent consumer choice theory to traffic assignm...
This study aims to make an objective comparative analysis between the relative significance of three...
In this paper a general fixed-point approach dealing with multi-user (stochastic) equilibrium assign...
This paper presents a new paradigm for choice set generation in the context of route choice model es...
Route choice is one of the most complex decision-making contexts to represent mathematically, and th...
We consider the application of reference-dependent consumer choice theory to traffic assignment on t...
Route choice is one of the most complex decision-making contexts to represent mathematically, and t...