A regulation model of urban traffic congestion: Algorithm and implementation

This study aims at calculating, the road urban traffic congestion using a suggested adapted CRONOS model. For the model simulation we propose adapted algorithm. We compare our adaptive system results to others given by urban traffic systems based on fixed pattern lights. The system is designed to make equilibrium between the length queue and the states of lights to search optimal strategy guarantying the fluidity of traffic and minimizing the total delay. The proposed real-time urban traffic control model was implemented on a simple intersection presenting two roads. We have chosen a simple intersection to validate our method which will be applied afterwards on a complicated intersection. We have used traffic evaluation criteria to test the accuracy of the model. The results show benefits of the suggested model on the total delay compared to that of the fixed pattern lights system. All traffic situations, whether they are peak or low are concerned by these results.