Performance of pheromone model for predicting traffic congestion
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Traffic Signal Control with Swarm Intelligence
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 03
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Modelling Shortest Path Search Techniques by Colonies of Cooperating Agents
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Use of MaSE methodology for designing a swarm-based multi-agent system
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Knowledge integration and management in autonomous systems
Ant colony optimisation for vehicle traffic systems: applications and challenges
International Journal of Bio-Inspired Computation
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Simulations using swarm-based multi-agent distributed architecture may provide appropriate tools to optimise traffic flow in today's traffic clogged cities. This paper describes an application of this approach in the city of Wroclaw (Poland) using ant algorithms and a multi-agent system. A model of the cities road network was generated which, combined with an analysis of traffic data, enabled traffic flow in the city to be simulated and then optimised. As a result, modifications were proposed to existing road layouts including delineation of a new road section. The results achieved clearly demonstrate the suitability of this approach for route optimisation.