Thesis:

Optimizing Traffic Flow In IoT Networks

In today's advanced world, communication, transportation of people and goods is of great importance and performing this activity faster is considered vital and necessary. In the last decade, with the significant increase in the number of passengers and vehicles along with the limitation of the capacity of communication networks, the use of new technologies in the field of intelligent traffic control and management has become necessary. For this reason, research in this direction is felt more than before. In this research, instead of the genetic algorithm, the black widow spider algorithm has been used for intelligent traffic management to help optimize the traffic flow with the help of the Internet of Things. The results show that compared to traditional methods, this method has reduced the waiting time of vehicles between 24 and 100 seconds, and also reduces the emission of pollutants and fuel consumption between 7 and 38 percent and 7 and 14 percent, respectively.

Keywords: Traffic Control, Intelligent Optimization, IoT network, Black Widow Spider Algorithm