Post-processing techniques to enhance reliability of assignment algorithm based performance measures.

Details

• Alternative Title:
  Joint Transportation Research Program Technical Report Series : Civil engineering
• Creators:
  Peeta, Srinivas ; Kumar, Amit ; Sharma, Sushant
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Tests
  • Static tests
  • Traffic characteristics
  • Traffic assignment
  • Travelers
  • Traffic flow
  • Traffic equilibrium
  • Static traffic assignment
  • Stability
  • Consistency
  More +
• Publication/ Report Number:
  FHWA/IN/JTRP-2011/19
• Resource Type:
  Tech Report
• Geographical Coverage:
  Indiana
• Edition:
  Final report.
• Corporate Publisher:
  Purdue University. Joint Transportation Research Program
• Abstract:
  This study develops an enhanced transportation planning framework by augmenting the sequential four-step ; planning process with post-processing techniques. The post-processing techniques are incorporated through a feedback ; mechanism and aim to improve the stability and convergence properties of the solution, thereby improving the reliability ; of the planning process. There are three building blocks of the proposed post-processing module: slope-based multi-path ; algorithm or SMPA, perturbation assignment, and O-D prioritization technique. SMPA is the most important part of the ; module and it can be used as both a post-processing algorithm and an independent static traffic assignment algorithm. In ; addition to SMPA, the post-processing module consists of perturbation assignment and O-D prioritization schemes. ; Perturbation assignment provides warm start and the O-D prioritization improves the rate of convergence by deciding ; the sequence in which the O-D pairs are brought into the flow update process. A detailed implementation procedure for ; perturbation assignment is developed along with six different criteria for O-D prioritization. Computational experiments ; using the Sioux Falls, Anaheim and Borman Corridor networks provide insights on these techniques. Results of the ; computational experiments show that SMPA has a superior rate of convergence compared to state-of-the-practice ; algorithms even without O-D prioritization and warm start. Results of computational experiments further reveal that a ; warm start using perturbation assignment and O-D prioritization provides significant benefits in improving the ; convergence properties and obtaining a more stable solution.
  More +
• Format:
  PDF
• Funding:
  SPR-3214
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23815/dot_23815_DS1.pdf
• File Type:
  [PDF - 5.81 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:aeee0faeac8f7e76247d718c0b4670e1a59cd0c6a55453e0b63288177c583bc315adf4ba15a55d411aba140131a34823bcb97972d073cda0731de6b7f727d5e0