Real time traffic signal timing approach based on artificial neural network

Authors : Ali Tahir KARAŞAHİN, Abdullah Erdal TÜMER

Pages : 49-54

View : 19 | Download : 9

Publication Date : 2020-06-30

Article Type : Research Paper

Abstract :As the population increases, is more and more increasing the number of vehicles in cities. The increasing number of vehicle make traffic management complicated. Difficult traffic management leads to more fuel consumption, CO2 and other harmful emissions. Therefore, real-time optimization of traffic lights insert ignore into journalissuearticles values(signaling); used in traffic management can make traffic management more efficient. In this study, green light time is optimized by estimating the number of vehicles in an intersection with signal lights in Konya city center through artificial neural network. The results are evaluated with different performance criteria and it has been shown that the developed estimation model can be successfully used to optimize the green light durations.
Keywords : Dynamic traffic control, artificial neural network, traffic signalization, optimization