Simulation Daily Mobility in Rabat Region Using Multi-Agent Systems Models

Abstract

Due to the rapid urbanization of the world, the issue of daily movement has become an important topic. It examines the daily movements of people and analyzes the behavior of individuals. This system is closely related to the urban area, especially traffic. This work will provide a mixed model of daily mobility and a person's shifting condition. Bottom-up techniques, such as Markov Chain and Multi-agent Systems, allow the creation of individual or group displacements. Bayesian Belief Network combined with Markov Chain allow for designing and managing individual behavior displacements.