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Focusing on the tradeoff between accuracy of the assignment and computation time this paper proposes different traffic assignment methods targeting at microscopic traffic simulation. The corresponding network-wide performance indices, the generated route s ...
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 ...
This thesis focuses on the route choice behavior of car drivers (uni-modal networks). More precisely, we are interested in identifying which route a given traveler would take to go from one location to another. For the analysis of this problem we use discr ...
Route choice models are difficult to design and to estimate for various reasons. In this paper we focus on issues related to data. Indeed, real data in its original format are not related to the network used by the modeler and do therefore not correspond t ...
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 ...
Route choice models play an important role in many aspects of transportation analysis, when the usual shortest path paradigm is too unrealistic (real-time information systems, traffic simulation, etc.). Developing operationnal route choice models involves ...
This research deals with self-supplied navigation systems (SNS), a combination of the technology of gathering travel time using floating car data (FCD) and dynamic route guidance (DRG). Using similar on-board equipment, these two systems can easily be comb ...
Route choice models are difficult to design and to estimate for various reasons. In this paper we focus on issues related to data. Indeed, real data in its original format are not related to the network used by the modeler and do therefore not correspond t ...
Map matching algorithms are the conventional way to generate path observations from GPS data for route choice models. The deterministic matching may introduce extra biases to parameters of route choice models if the matching is wrong. In this paper, a new ...
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 ...
