LARGE SCALE TRAFFIC SIMULATION

Large scale microscopic (i.e. vehicle-based) traffic simulations pose high demands on computational speed in at least two application areas: 1) real-time traffic forecasting, and 2) long-term planning applications between the microsimulation and the simulated planning. As a rough number, a real-time simulation of an area such as Los Angeles will need a computational speed of much higher than 1 million updates per second. This paper reviews how this problem is approached in different projects and how these approaches are dependent both on the specific questions and on the prospective user community. The approaches reach from highly parallel and vectorizable, single-bit implementations on parallel supercomputers for Statistical Physics questions, via more realistics implementation on coupled workstations, to more complicated driving dynamics implemented again on parallel supercomputers.

• Corporate Authors:

  Los Alamos National Laboratory

  P.O. Box 1663
  Los Alamos, NM  United States  87545

  Department of Energy

  1000 Independence Avenue, SW
  Washington, DC  United States  20585
• Authors:
  • Nagel, K
  • Barrett, C L
  • Rickert, M
• Publication Date: 1997

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: 26 p.

Subject/Index Terms

• TRT Terms: Analysis; Driving simulators; Microsimulation; Real time control; Simulation; Traffic; Traffic simulation
• Uncontrolled Terms: Traffic analysis
• Old TRIS Terms: Real time operations
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 00741148
• Record Type: Publication
• Report/Paper Numbers: LA-UR-97-281
• Files: TRIS
• Created Date: Oct 16 1997 12:00AM