Dynamic Parking Guidance Architecture Using Ant Colony Optimization and Multi-agent Systems

Nowadays, drivers have great difficulty finding a parking space easily due to the traffic congestion in some areas and the distribution of car parks within the city. This work aims to design a new system that will allow a vehicle driver to find the best route between his real-time position and parking with available places in a specific area. Our system is based on a distributed swarm intelligence strategy using the ant colony algorithm, cloud system, and multiagent systems to offer an optimal solution toward the nearest car park in the city. Our solution will improve the use of available parking in the city.