Large Scale Traffic Simulations

Details

• Creators:
  Nagel, Kai ; Rickert, Marcus ; Barrett, Christopher L.
• Corporate Contributors:
  Los Alamos National Laboratory
• Subject/TRT Terms:
  • Traffic simulation
  • Traffic forecasting
  • Long range planning
  • Highway planning
  • Computer architecture
  • Mainframe computers
  • Personal computers
  • Computational speed
  • Computer speed
  • Large scale microscopic traffic simulations
  More +
• Publication/ Report Number:
  LA-UR-97-281
• Resource Type:
  Proceedings
• Geographical Coverage:
  United States
• Corporate Publisher:
  Los Alamos National Laboratory
• Abstract:
  Large scale microscopic (i.e. vehicle-based) traffic simulations pose high demands on computation speed in at least two application areas: (i) real-time traffic forecasting, and (ii) long-term planning applications (where repeated "looping" between the microsimulation and the simulated planning of individual person's behavior is necessary). As a rough number, a real-time simulation of an area such as Los Angeles (ca. 1 million travelers) will need a computational speed of much higher that 1 million "particle" (=vehicle) 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 implementation on parallel supercomputers for Statistical Physics questions, via more realistic implementations on coupled workstations, to more complicated driving dynamics implemented again on parallel supercomputers.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/13843/dot_13843_DS1.pdf
• File Type:
  [PDF - 1.60 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:dcb437e91549d1e21686e6bb8d2da0253a13587b90a15367b32601bca98cca4782e35a6db5979f74abbe42c433f3f7546527a96f5d55b72ecefd335aa669c38a