A multi-agent simulation platform applied to the study of urban traffic lights
EntityUAM. Departamento de Ingeniería Informática
PublisherInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)
10.5220/00035097015401596th International Conference on Software and Data Technologies, ICSOFT 2011. INSTICC 2011. 154-159
Funded byThis work has been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2010-19872 and by Jobssy.com.
ProjectGobierno de España. TIN2010-19872
SubjectsDistributed system; Software engineering; Swarm computing; Informática
NoteProceedings of 6th International Conference on Software and Data Technologies, ICSOFT 2011
Rights© 2011 - INSTICC and/or its suppliers. All rights reserved
The Multi-Agent system paradigm allows the development of complex software platforms to be used in a wide range of real-world scenarios. One of the most successful areas these technologies have been applied are in the simulation and optimization of complex systems. Traffic simulation/optimization problems are a specially suitable target for such a platform. This paper proposes a new Multi-Agent simulation platform, where agents are based on a Swarm model (lightweight agents with very low autonomy or proactivity). Using this framework, simulation designers are free to configure road networks of arbitrary complexity, by customizing road width, geometry and intersection with other roads. To simulate different traffic flow scenarios, vehicle trajectories can be defined by choosing start and end locations and providing traffic generation functions for each one trajectory defined. Finally, how many vehicles are generated at each time step can be determined by a time series function. The domain of traffic simulation has been selected to investigate the effect of traffic light configuration on the flow of vehicles in a road network. The experimental results from this platform show a strong correlation between traffic light behavior and the flow of traffic through the network that affects the congestion of the road.
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