Towards Truly Agent-Based Traffic and Mobility Simulations

  • Authors:
  • Michael Balmer;Nurhan Cetin;Kai Nagel;Bryan Raney

  • Affiliations:
  • ETH Zurich;ETH Zurich;Technical University Berlin;ETH Zurich

  • Venue:
  • AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
  • Year:
  • 2004

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Abstract

Traveling is necessary and desirable; yet, it imposes external costs on other people. Quantitative methods help finding a balance. Multi-agent simulations seem an obvious possibility here. A real world traffic simulation consists of many modules, all requiring different expertise. The paper discusses how such modules can be coupled to a complete simulation system, how such a system can be made fast enough to deal with real-world sizes (several millions of travelers), and how agent memory can be introduced. A real-world case study is presented, which says that multi-agent methods for traffic are mature enough to be used alongside existing methods. Finally, some outlook into the near future is given.