Hybrid Optimization in Urban Traffic Networks

Details

• Creators:
  Tan, Han Ngee ; Gershwin, Stanley B. ; Athans, Michael
• Corporate Creators:
  Massachusetts Institute of Technology
• Corporate Contributors:
  John A. Volpe National Transportation Systems Center (U.S.)
• Subject/TRT Terms:
  • Network analysis (Planning)
  • Optimization
  • Algorithms
  • Highway traffic control
  • Transportation operations
  • Costs
  • Network flows
  • Transportation management
• Publication/ Report Number:
  DOT-TSC-RSPA-79-7
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Dept. of Transportation. Research and Special Programs Administration
• Description:
  The hybrid optimization problem is formulated to provide a general theoretical framework for the analysis of a class of traffic control problems which takes into account the role of individual drivers as independent decisionmakers. Different behavioral models for flow distribution are examined. Necessary conditions for this problem are derived, and a physical interpretation of these conditions is provided. Possible directions for the development of algorithms applicable for solving large-scale hybrid optimization problems are proposed. A procedure for computing the upper and lower bounds of the optimal cost of the hybrid optimization problem is outlined.
• Format:
  PDF
• Funding:
  DOT-TSC-1456
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/10369/dot_10369_DS1.pdf
• File Type:
  [PDF - 4.30 MB]
• Collection(s):
  Volpe Center
• Main Document Checksum:
  urn:sha256:d8172f01762415c38e4b31c3c20ebf4706f85b100842695eeca99a136507e4e3