Using Dynamic Bayesian Networks to Solve Road Traffic Congestion in the Sfax City

The development of a road traffic management system is used to model traffic movements in the city and to detect road axes that are often congested. In this case, it will be important to measure the demand for travel and to simulate its contribution to urban congestion in Sfax city. With a view to improving traffic management, our contribution focuses on the adaptation of a method capable of both identifying the different relevant variables of road traffic, modeling the probabilistic dependence structure on a road segment and to analyze the probabilities of urban congestion. The results produced by the diagnosis and analysis provided elements of response to the questioning of road traffic management. We found that the city of Sfax has shown a failure in intra-urban transport services and the transport system in this region is not able to handle the expected increase in the volume of road traffic. We have demonstrated that the integration of public transport services contributes will improve traffic fluidity, and it is still able to make the public and urban space less polluting, more fluid and more attractive.