A Multi-agent Based on Ant Colony Model for Urban Traffic Management

This paper presents a conception model of a distributed algorithm as a heuristic (meta-heuristic) method inspired from the ant colony system which consists on exploiting pheromone information to find the shortest path from the food source to the nest, in order to optimize the urban traffic through a graph by orienting vehicles to make the best decision to choose the optimal road and to favor the fluency of the urban traffic. For this purpose, multi-agent system architecture will be proposed using embedded agents which aim to interconnect the various objects influencing the urban traffic. This interaction comprises an exchange of many informations and big data coming from many different devices existing in the real world. For this reason, the place of internet of things (IoT) technology is assured in our paper therefore will be discussed.