Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CIVTS.2011.5949535 | Computational Intelligence in Vehicles and Transportation Systems |
Keywords | Field | DocType |
fuzzy logic,multi-agent systems,optimisation,road traffic,adaptive vehicle guidance system,ant colony behavior,ant-hierarchical fuzzy system,collaborative multi-agent system,road networks,road traffic management,shortest path algorithm,adaptive vehicle guidance,ant colony,hiearachical fuzzy system,traffic assignment,traffic simulation,transportation | Adaptability,Fuzzy logic,Floating car data,Traffic simulation,Multi-agent system,Control engineering,Real-time computing,Engineering,Fuzzy control system,Ant colony,Dijkstra's algorithm | Conference |
ISBN | Citations | PageRank |
978-1-4244-9975-5 | 1 | 0.36 |
References | Authors | |
21 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Habib M. Kammoun | 1 | 16 | 2.73 |
| Ilhem Kallel | 2 | 37 | 8.40 |
| Mohamed Adel Alimi | 3 | 1947 | 217.16 |
| Jorge Casillas | 4 | 1 | 1.03 |