Multi-Modal freight models are traditionally built following the well known “four steps model” in which generation, distribution, modal-split and assignment are seen as separated modules. An alternative approach, now implemented in some software, is to represent the multi-modal network by means of a “mono-modal” one, in which each particular transport operation (loading or unloading operation, transhipments ...) is represented by a dedicated “virtual link”, that represents a specific operation in the transportation chain. This approach, promoted by several authors, often referenced to as “super networks” or “virtual networks”, is proven to give interesting results, but has the drawback to generate much larger networks than the pure geograph...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
In this study, a new model is proposed for the multi-modal assignment problem with combined modes (M...
Modelling the combined mode split and traffic assignment (CMSTA) problem is essential to capture the...
Multi-Modal freight models are traditionally built following the well known "four steps model" in wh...
Multi-Modal freight models are traditionally built following the well known “four steps model” in w...
Multi-Modal freight models are traditionally built following the well known "fours steps model" in w...
Multi-Modal freight models are traditionally built following the well known "fours steps model" in w...
The multimodal freight network models are traditionally based on the four stages ap-proach in which ...
The multimodal freight network models are traditionally based on the four stages approach in which g...
Optimizing the performance of multimodal freight transport networks involves adequately balancing th...
Urban road networks are generally shared by at least three different kinds of vehicles: private cars...
The "Virtual network" methodology offers an alternative to the classical "four steps" technique to m...
A multi-flow multi-modal assignment procedure on large freight transportation network
This study reviews existing computational methods to calculate simulation-based dynamic network equi...
In this paper, a modeling framework is proposed to represent the dynamic behavior of both passenger ...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
In this study, a new model is proposed for the multi-modal assignment problem with combined modes (M...
Modelling the combined mode split and traffic assignment (CMSTA) problem is essential to capture the...
Multi-Modal freight models are traditionally built following the well known "four steps model" in wh...
Multi-Modal freight models are traditionally built following the well known “four steps model” in w...
Multi-Modal freight models are traditionally built following the well known "fours steps model" in w...
Multi-Modal freight models are traditionally built following the well known "fours steps model" in w...
The multimodal freight network models are traditionally based on the four stages ap-proach in which ...
The multimodal freight network models are traditionally based on the four stages approach in which g...
Optimizing the performance of multimodal freight transport networks involves adequately balancing th...
Urban road networks are generally shared by at least three different kinds of vehicles: private cars...
The "Virtual network" methodology offers an alternative to the classical "four steps" technique to m...
A multi-flow multi-modal assignment procedure on large freight transportation network
This study reviews existing computational methods to calculate simulation-based dynamic network equi...
In this paper, a modeling framework is proposed to represent the dynamic behavior of both passenger ...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
In this study, a new model is proposed for the multi-modal assignment problem with combined modes (M...
Modelling the combined mode split and traffic assignment (CMSTA) problem is essential to capture the...