The paper deals with simulation of congested urban areas through dynamic traffic assignment models and presents a new quasidynamic traffic assignment model that improves realism and effectiveness of both usual static traffic assignment models and other quasi-dynamic models recently introduced in the literature. The new model has been applied to a real large-scale road network (the town of Rome) and has been validated through a comparison with a very large set of floating car data. Results of validation reveal that the quasi-dynamic traffic assignment model provided a rather satisfactory goodness of fit, which is comparable with that reported in literature as a result of application of a much more sophisticated simulation and calibration pro...
This paper explores the possibility of applying simulation models formalized in the macrosimulation ...
This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation ne...
Traffic assignment models are crucial for traffic planners to be able to predict traffic distributio...
The paper deals with simulation of congested urban areas through dynamic traffic assignment models a...
The paper deals with simulation of congested road networks through dynamic traffic assignment models...
Although the traffic and transit assignment processes are intertwined, the interactions between them...
AbstractUrban traffic control systems evolved through three generations. The first generation of suc...
The growing congestion problems demand a new generation of traffic models that are applicable in the...
This paper presents a theoretical framework to derive static, quasi-dynamic, and semi-dynamic traffi...
25 pagesInternational audienceThe paper reports on the algorithmic treatment and computer implementa...
In this paper a new formulation of within-day dynamic traffic assignment is presented, where a dynam...
International audienceThe paper reports on the algorithmic treatment and computer implementation of ...
Transport planning models are used all over the world to assist in the decision making regarding inv...
The paper presents the calibration and application of a simulation-based dynamic traffic assignment ...
Traffic assignment models based on the user equilibrium approach are one of the most widely used too...
This paper explores the possibility of applying simulation models formalized in the macrosimulation ...
This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation ne...
Traffic assignment models are crucial for traffic planners to be able to predict traffic distributio...
The paper deals with simulation of congested urban areas through dynamic traffic assignment models a...
The paper deals with simulation of congested road networks through dynamic traffic assignment models...
Although the traffic and transit assignment processes are intertwined, the interactions between them...
AbstractUrban traffic control systems evolved through three generations. The first generation of suc...
The growing congestion problems demand a new generation of traffic models that are applicable in the...
This paper presents a theoretical framework to derive static, quasi-dynamic, and semi-dynamic traffi...
25 pagesInternational audienceThe paper reports on the algorithmic treatment and computer implementa...
In this paper a new formulation of within-day dynamic traffic assignment is presented, where a dynam...
International audienceThe paper reports on the algorithmic treatment and computer implementation of ...
Transport planning models are used all over the world to assist in the decision making regarding inv...
The paper presents the calibration and application of a simulation-based dynamic traffic assignment ...
Traffic assignment models based on the user equilibrium approach are one of the most widely used too...
This paper explores the possibility of applying simulation models formalized in the macrosimulation ...
This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation ne...
Traffic assignment models are crucial for traffic planners to be able to predict traffic distributio...