Title : Road Traffic Modeling: The Interest of Warm-Up Detection in Dynamic Simulations
Authors : Najia BOUHA1,2 , Zouhir MAHANI3
About The Authors
1University Ibn Zohr, Faculté des Sciences, Laboratoire Image et Reconnaissance de Formes – Systèmes Intelligents et Communicants (IRF – SIC), Agadir, Morocco.
2University of Artois, EA. 3926, Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), Béthune, F-62400, France.
The design, study and management of road traffic systems has become increasingly difficult and costly as existing configurations are multiple and complex. Our objective in this article is to present a state of the art on modeling techniques, namely macroscopic, microscopic and mesoscopic modeling. And we will see that in order to solve the space and time scale problems encountered in the aforementioned models, a new model named static hybrid has appeared. The latter aims to take advantage of classical models, adopting the model at the scale of the phenomenon studied. But the static hybrid approach cannot observe the phenomenon of congestion.
To overcome these limitations, we have developed an approach to move from a macroscopic presentation to a microscopic presentation. The latter will create an empty section that will gradually be filled with vehicles. This phase called "initial transition" or "warm-up" marks an unstable state. The main objective is to eliminate the warming phase by dynamically transforming the macroscopic simulation into a microscopic simulation.