A state‐of‐the‐art review of flow observability, estimation, and prediction problems in traffic
networks is performed. Since mathematical optimization provides a general framework for all …

When a disruptive event takes place in a traffic network some important questions arise,
such as how stressed the traffic network is, whether the system is able to respond to this …

A stochastic demand dynamic traffic model is presented to predict some traffic variables,
such as link travel times, link flows, or link densities, and their time evolution in real …

One of the actions usually conducted to limit exposure to a hazardous event is the
evacuation of the area that is subject to the effects of the event itself. This involves …

Dynamic traffic assignment models are mathematical tools used for traffic management and
control. These require a dynamic network load (DNL) model, a route choice model, and a …

The traffic flow on road networks is dynamic in nature. Hence, a model for dynamic traffic
flow estimation should be a very useful tool for administrations to make decisions aimed at …

A dynamic network loading (DNL) model using a mesoscopic approach is proposed to
simulate a multimodal transport network considering en‐route change of the transport …

The approximation of the traversal cost is a critical component of dynamic traffic assignment
model. In link based traffic assignment, it assumes that the constraints sets are linear or …

In this paper, we deal with the traffic assignment problem solving a multiclass equilibrium
problem. In particular, we focus our analysis on when the overtaking of vehicles is permitted …

This article presents a model for solving the continuous loading network problem when
different class users interact in the traffic network so that overtaking among different class …