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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 ...
Transportation literature suggests that men and women have different characteristics with respect to commuting patterns, as well as with respect to their propensity to switch between travel options. In North America, women are expected to have an increasin ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) in case of dense urban networks. To improve the global process of OD demand estimation, this paper is focussing on a new methodology to exe ...
We study adaptive route choice models that explicitly capture travelers' route choice adjustments according to information on realized network conditions in stochastic time-dependent networks. Two types of adaptive route choice models are explored: an adap ...
The role of discrete choice models in decision-making support has significantly grown during the past 20 years. This is particularly true in the context of marketing and transportation, where it is critical to understand and forecast choice behavior in a d ...
Transportation literature suggests that men and women have different characteristics with respect to commuting patterns, as well as with respect to their propensity to switch between travel options. In North America, women are expected to have an increasin ...
Many complex transportation models can be formulated as fixed-point problems. Typical examples are the equilibrium-like models, motivated by the need to capture the interaction between the transport supply (that is, the infrastructure) and transport demand ...
This paper presents a model to estimate travel time using cumulative plots. Three different cases are considered: i) case-Det, for only detector data; ii) case-DetSig, for detector data and signal controller data and iii) case- DetSigSFR, for detector data ...
Traffic simulation is more and more widely used and a helpful decision tool for planer and managers. Several tools exist and could be grouped in two main families: Macrosimulators with aggregate vision of the traffic in the network and microsimulators whic ...
Demand analysis is more and more critical in the transportation context. Discrete choice models methodology provide an appropriate framework to capture the behaviour of the actors of transportation systems and, consequently, to forecast the demand. Recentl ...