Paper Info
Title
An adaptive vehicle guidance system instigated from ant colony behavior
Abstract
In view of the high dynamicity of traffic flow and the polynomial increase in the number of vehicles on road networks, the route choice problem becomes more complex. A classical shortest path algorithm based only on road length is no longer relevant. We propose in this paper an adaptive vehicle guidance system instigated from the ants behavior, well known for its good adaptativity; this system allows adjusting intelligently and promptly the route choice according to the real-time changes in the road network situations, such as new congestions and jams. This 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 adaptativity.
Year
DOI
Venue
2010
10.1109/ICSMC.2010.5642001
SMC
Keywords
Field
DocType
multi-agent systems,optimisation,road vehicles,transportation,adaptive vehicle guidance system,ant colony behavior,collaborative multiagent system,road network,road vehicle,route choice problem,shortest path algorithm,traffic flow,Transportation,adaptive vehicle guidance,ant colony,traffic assignment,traffic simulation
Road networks,Traffic flow,Polynomial,Control theory,Simulation,Computer science,Traffic simulation,Multi-agent system,Vehicle guidance,Ant colony,Dijkstra's algorithm,Distributed computing
Conference
ISSN
Citations 
PageRank 
1062-922X
7
0.46
References 
Authors
16
4
Name
Order
Citations
PageRank
Habib M. Kammoun1162.73
Ilhem Kallel2378.40
Mohamed Adel Alimi31947217.16
jorge casillas492746.64