Improvement of the road traffic management by an ant-hierarchical fuzzy system

In view of dynamicity on road networks and the sharp increase of traffic jam states, the road traffic management becomes more complex. It is clear that the shortest path algorithm based only on road length is no longer relevant.We propose in this paper a hybrid method based on two stages based on an...

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Bibliographic Details
Main Authors: Kammoun, H. M., Kallel, I., Alimi, A. M., Casillas, J.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive systems
adaptive vehicle guidance
ant colony
Driver circuits
Fuzzy logic
Fuzzy systems
hiearachical fuzzy system
Real time systems
Roads
traffic assignment
traffic simulation
transportation
Vehicles
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Summary:In view of dynamicity on road networks and the sharp increase of traffic jam states, the road traffic management becomes more complex. It is clear that the shortest path algorithm based only on road length is no longer relevant.We propose in this paper a hybrid method based on two stages based on ant colony behavior and hierarchical fuzzy system. This method allows adjusting intelligently and promptly the road traffic according to the real-time changes in the road network states by the integration of an adaptive vehicle guidance system. The proposed method is implemented as a deliberative module of a vehicle ant agent in a collaborative multiagent system representing the entire road network. Series of simulations, under a multiagent platform, allow us to discuss the improvement of the global road traffic quality in terms of time, fluidity, and adaptability.
DOI:10.1109/CIVTS.2011.5949535