Real time status collection and dynamic vehicular traffic control using Ant Colony Optimization

The average travel speed and waiting time of cars are factors which determine the time taken to get to a destination. These factors are influenced by the traffic situation at various sections of the road. In this paper a novel Distributed Intelligent Traffic System (DITS) which is based on Ant Colony Optimization has been proposed. In the proposed model the average speed of cars at various sections of the road is used to determine the traffic situation in those sections of the road. Applying Ant Colony Optimization, cars arriving at a junction avoid the congested path and use the path with least traffic to get to their destination. Simulation results of the model by NetLogo have shown that the DITS model demonstrate better performance when compared with a scenario where the cars select their travel path randomly.