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Group Coordination for Agent-Oriented Urban Traffic Management

  • Jana Görmer
  • Jörg P. Müller
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 155)

Abstract

Future cooperative traffic management systems will make use of on-board intelligence and of communication among vehicles and traffic infrastructure. In this demonstration, we present a simulation-based approach of applying multi-agent systems modeling and coordination for dynamic traffic management in urban areas. Traffic participants, modeled as agents, act according to their local goals and preferences under the more global constraints of traffic management. Towards this end, our approach employs decentral coordination and cooperation techniques. We demonstrate (i) a group coordination mechanism allowing groups of vehicles to select their common speed based on a chosen route; and (ii) a group-oriented automated driving method enabling vehicle agents to co-ordinate their speed and lane choices. The demonstration uses the AIMSUN traffic simulation system which has been enhanced to support agent-based simulation.

Keywords

Multiagent System Traffic Management Road Side Unit Vehicular Communication Street Capacity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Clausthal University of TechnologyClausthal-ZellerfeldGermany

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