Dynamic, Stochastic Models for Congestion Pricing and Congestion Securities

Details

• Creators:
  Friesz, Terry L. ; Yao, Tao
• Corporate Creators:
  Thomas D. Larson Pennsylvania Transportation Institute
• Subject/TRT Terms:
  • Congestion pricing
  • Dynamic models
  • Mathematical models
  • Optimization
  • Stochastic processes
  • Tolls
  • Travel demand
  • Research Hub
  • Highways
  • Operations and Traffic Management
  More +
• Publication/ Report Number:
  PSU-2009-01
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• TRIS Online Accession Number:
  01472482
• Edition:
  Final Report 1/1/2010-12/31/2010
• Corporate Publisher:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• NTL Classification:
  NTL-OPERATIONS AND TRAFFIC CONTROLS-Congestion ; NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION ; NTL-PLANNING AND POLICY-Travel Demand
• Abstract:
  This research considers congestion pricing under demand uncertainty. In particular, a robust optimization (RO) approach is applied to optimal congestion pricing problems under user equilibrium. A mathematical model is developed and an analysis performed to consider robust, dynamic user equilibrium, optimal tolls based on the second-best problem known as the dynamic optimal toll problem with equilibrium constraints, or DOTPEC. Finally, numerical experiments and qualitative analyses are conducted to investigate the performance and robustness of the solutions obtained.
• Format:
  PDF
• Funding:
  DTRT07-G-0003
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25635/dot_25635_DS1.pdf
• File Type:
  [PDF - 189.36 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:b175f59b117c00d34b383e03ecd57f38742586b14c80afbb182ef33176fbc747a60755983cf53d1fe93b5b3f141018e8f9759481e97f5f500ca08f7f590b447e