A Simulation-Optimization–Based Decision Support Tool for Mitigating Traffic Congestion

Details

• Creators:
  Melouk, Sharif ; Keskin, Burcu B. ; Anderson, Michael ; Armbrester, Christopher
• Corporate Creators:
  University of Alabama. Department of Information Systems, Statistics, and Management Science
• Corporate Contributors:
  University Transportation Center for Alabama
• Subject/TRT Terms:
  • Traffic congestion
  • Traffic flow
  • Decision support systems
  • Optimization
  • Traffic simulation
  • Traffic models
  • Heuristic methods
  • Highways
  • Operations and Traffic Management
  • I73: Traffic Control
• Publication/ Report Number:
  UTCA Report Number 08103
• Resource Type:
  Tech Report
• Geographical Coverage:
  Alabama ; United States
• TRIS Online Accession Number:
  01364051
• Corporate Publisher:
  University Transportation Center for Alabama
• Abstract:
  "Traffic congestion has grown considerably in the United States over the past twenty years. In this paper, we develop a robust decision support tool based on simulation optimization to evaluate and recommend congestion-mitigation strategies to transportation-system decision-makers. A tabu-search–based optimizer determines different network design strategies on the road network while a traffic simulator evaluates the goodness of fit. The tool is tested with real traffic data."
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23712/dot_23712_DS1.pdf
• File Type:
  [PDF - 572.59 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:487d4640f183afd7c67806b38fc644c1218a33c271009349f1a5ed3425a2d43401feee99d1ecffbad271532066226bc3b1b44d3306210d400c4ccfc5ad2e3fe5