A multi-agent traffic simulation framework for evaluating the impact of traffic lights
EntidadUAM. Departamento de Ingeniería Informática
Fecha de edición2011
10.5220/0003181204430446ICAART 2011: International Conference on Agents and Artificial Intelligence. INSTICC, 2011. 443-446
Financiado porThis work has been supported by the Spanish Ministry of Science and Innovation. Grant TIN2010- 19872
Versión del editorhttp://dx.doi.org/10.5220/0003181204430446
MateriasMulti-agent simulation; Swarm computing; Traffic optimization; Informática
NotaThis is an electronic version of the paper presented at the 3rd International Conference on Agents and Artificial Intelligence, held in Rome on 2011
DerechosCopyright 2011 - INSTICC and/or its suppliers. All rights reserved
The growing of the number of vehicles cause serious strains on road infrastructures. Traffic jams inevitably occur, wasting time and money for both cities and their drivers. To mitigate this problem, traffic simulation tools based on multiagent techniques can be used to quickly prototype potentially problematic scenarios to better understand their inherent causes. This work centers around the effects of traffic light configuration on the flow of vehicles in a road network. To do so, a Multi-Agent Traffic Simulation Framework based on Particle Swarm Optimization techniques has been designed and implemented. Experimental results from this framework show an improvement in the average speed obtained by traffic controlled by adaptive over static traffic lights.
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