A state-of-the-art review: Developments in utility theory, prospect theory and regret theory to investigate travellers' behaviour in situations involving travel time …
GM Ramos, W Daamen, S Hoogendoorn - Transport Reviews, 2014 - Taylor & Francis
Despite the wide use of utility theory to model travellers' behaviour, the interest in non-
expected utility theories has increased due to their potential to capture more realistic …
expected utility theories has increased due to their potential to capture more realistic …
A modified logit route choice model overcoming path overlapping problems. Specification and some calibration results for interurban networks
Random utility route choice models play a central role in stochastic assignment, to road
networks. The usually adopted specifications for such models are Multinomial Logit (MNL) …
networks. The usually adopted specifications for such models are Multinomial Logit (MNL) …
Large-scale multimodal transportation network models and algorithms-Part I: The combined mode split and traffic assignment problem
Modelling the combined mode split and traffic assignment (CMSTA) problem is essential to
capture the travelers' behaviors and predict the flow distribution in multimodal transportation …
capture the travelers' behaviors and predict the flow distribution in multimodal transportation …
A stochastic transit assignment model considering differences in passengers utility functions
OA Nielsen - Transportation Research Part B: Methodological, 2000 - Elsevier
The paper presents a framework for public traffic assignment that builds on the probit-based
model of Sheffi and Powell [Sheffi, Y., Powell, WB, 1981. A comparison of stochastic and …
model of Sheffi and Powell [Sheffi, Y., Powell, WB, 1981. A comparison of stochastic and …
Existence, uniqueness, and trip cost function properties of user equilibrium in the bottleneck model with multiple user classes
R Lindsey - Transportation science, 2004 - pubsonline.informs.org
Under relatively general assumptions a unique deterministic departure-time user equilibrium
with a finite departure rate exists in the bottleneck model with drivers who differ in their unit …
with a finite departure rate exists in the bottleneck model with drivers who differ in their unit …
Predicting traffic flow using Bayesian networks
E Castillo, JM Menéndez… - … Research Part B …, 2008 - Elsevier
This paper deals with the problem of predicting traffic flows and updating these predictions
when information about OD pairs and/or link flows becomes available. To this end, a …
when information about OD pairs and/or link flows becomes available. To this end, a …
Trip matrix and path flow reconstruction and estimation based on plate scanning and link observations
This paper deals with the problem of trip matrix and path flow reconstruction and estimation
based on plate scanning and link flow observations. To solve the problem, the following …
based on plate scanning and link flow observations. To solve the problem, the following …
General stochastic ridesharing user equilibrium problem with elastic demand
In this study, we propose a general stochastic ridesharing user equilibrium (SRUE) problem
with elastic demand (ED) for urban transportation network analysis with ridesharing activities …
with elastic demand (ED) for urban transportation network analysis with ridesharing activities …
Fixed point approaches to the estimation of O/D matrices using traffic counts on congested networks
E Cascetta, MN Postorino - Transportation science, 2001 - pubsonline.informs.org
Over recent years, increasing attention has been devoted to the problem of estimating
Origin/Destination (O/D) matrices by using traffic counts, named in the following O/D Count …
Origin/Destination (O/D) matrices by using traffic counts, named in the following O/D Count …
Robust improvement schemes for road networks under demand uncertainty
This paper is concerned with development of improvement schemes for road networks
under future travel demand uncertainty. Three optimization models, sensitivity-based …
under future travel demand uncertainty. Three optimization models, sensitivity-based …