TOWARDS A MULTI-AGENT SYSTEM FOR ON-LINE SIMULATIONS BASED ON REAL- WORLD TRAFFIC DATA

This paper describes a method for on-line simulations and forecasts of traffic flow based on the combination of real-world traffic data with an agent-based traffic flow model. Using historical traffic demand data and current data, a short-term traffic forecast is derived. The paper also discusses the demand for an anticipatory traffic forecast including decision-making and route choice behavior of the road users.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/11942795
• Supplemental Notes:
  • Publication Date: November 2001
• Corporate Authors:

  Gedas Telematics GmbH

  ,    

  Technische Universitat Hamburg-Harburg. Arbeitsbereich Regelungstechnik

  ,    

  DaimlerChrysler Corporation

  Auburn Hills, MI  United States  48326-2766

  Siemens Aktiengesellschaft

  Machtfinger Strasse 10, Postfach 100079
  8000 Munich,   Germany 
• Authors:
  • Schreckenberg, M
  • Wahle, J
• Publication Date: 2001

Language

• German

Media Info

• Pagination: p. 485-492
• Serial:
  • Automatisierungstechnik. Vol. 49, no. 11
  • Publisher: Gedas Telematics GmbH
  • ISSN: 0178-2312

Subject/Index Terms

• TRT Terms: Artificial intelligence; Route choice; Simulation; Traffic estimation; Traffic flow
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00930228
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Sep 3 2002 12:00AM