Today, traffic congestions at streets became a serious problem specifically in the area with the high
population density. In this paper a novel intelligent controller system was proposed and designed to reduce the
congestions on the streets. The system consists of two intelligent controllers that are designed to be similar to the
human brain in solving problems and finding the best solutions; two main methods are used in the training of the
controllers: the first one is the super vised feed-forward neural networks and the second one is the Particle Swarm
Optimization (PSO).The results of the two methods are compared with each other and the best one was chosen for
the designing. The first intelligent controller was used to check all the streets according to its traffic while the
second one is used to determine the necessary time for each street based on the results which are obtained previously
from the first controller in order to control the traffic light that allows the vehicles on each street to be moving or
waiting its turn.
تاريخ النشر
01/01/2019
الناشر
Jour of Adv Research in Dynamical & Control Systems
الاء حمزة عمران | Alaa Hamza Omran | 6476