Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model

• An adaptive vehicle route guidance system is developed.
• The system is based on the ant colony behavior and the hierarchical fuzzy model.
• The system allows adjusting efficiently the road traffic according to the real-time changes in road networks.
• Multiagent simulations explain the improvement of the global road traffic quality in the road network.
• The system deals with traffic congestion phenomenon.

Usually, road networks are characterized by their great dynamics including different entities in interactions. This leads to more complex road traffic management. This paper proposes an adaptive multiagent system based on the ant colony behavior and the hierarchical fuzzy model. This system allows adjusting efficiently the road traffic according to the real-time changes in road networks by the integration of an adaptive vehicle route guidance system. The proposed system is implemented and simulated under a multiagent platform in order to discuss the improvement of the global road traffic quality in terms of time, fluidity and adaptivity.