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 …

Node models for macroscopic simulation have attracted relatively little attention in the
literature. Nevertheless, in dynamic network loading (DNL) models for congested road …

This article describes a new approach to the macroscopic first order modeling and
simulation of traffic flow in complex urban road intersections. The framework is theoretically …

Recently there has been a resurgence in the interest of road pricing. Most studies adopt the
static modeling paradigm, typically using either separable monotone or backward-bending …

An important class of models for macroscopic dynamic network loading (DNL) and dynamic
traffic assignment (DTA) is based on treating link travel times as a function of link occupancy …

Abstract Dynamic Traffic Assignment (DTA), which is to determine the network traffic pattern
over time as a result of dynamic supply and demand interactions, is an important research …

Queue spillback is a common phenomenon in congested transportation networks.
Nevertheless, traditionally, dynamic traffic assignment (DTA) problems are developed with …

The study of dynamic route guidance model over a general road network has been
deployed for some time in intelligent transportation systems (ITS) field. The paper presents …

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 …

Esta tesis presenta los siguientes modelos estadístico-matemáticos originales:-Dos
modelos estáticos de asignación de tráfico con usuarios heterogéneos que permiten …