skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Simple queueing model applied to the city of Portland

Conference ·
OSTI ID:350889
;  [1]
  1. Los Alamos National Lab., NM (United States)

The authors present a simple traffic micro-simulation model that models the effects of capacity cut-off, i.e. the effect of queue built-up when demand is exceeding capacity, and queue spillback, i.e. the effect that queues can spill back across intersections when a congested link is filled up. They derive the model`s fundamental diagrams and explain it. The simulation is used to simulate traffic on the emme/2 network of the Portland (Oregon) metropolitan region (20,000 links). Demand is generated by a simplified home-to-work assignment which generates about half a million trips for the AM peak. Route assignment is done by iterative feedback between micro-simulation and router. Relaxation of the route assignment for the above problem can be achieved within about half a day of computing time on a desktop workstation.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
Department of Defense, Washington, DC (United States)
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
350889
Report Number(s):
LA-UR-98-3903; CONF-990112-; ON: DE99002604; TRN: AHC29921%%74
Resource Relation:
Conference: Transportation Research Board (TRB) annual meeting, Washington, DC (United States), Jan 1999; Other Information: PBD: 31 Jul 1998
Country of Publication:
United States
Language:
English

Similar Records

Capacity-constrained traffic assignment in networks with residual queues
Journal Article · Sat Apr 01 00:00:00 EST 2000 · Journal of Transportation Engineering · OSTI ID:350889

Traffic flow optimization on rural networks
Thesis/Dissertation · Sat Jan 01 00:00:00 EST 1983 · OSTI ID:350889

A real-time vehicle-specific eco-routing model for on-board navigation applications capturing transient vehicle behavior
Journal Article · Tue Apr 30 00:00:00 EDT 2019 · Transportation Research Part C: Emerging Technologies · OSTI ID:350889