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:
  Consistency Convergence Stability Static Tests Static Traffic Assignment Tests Traffic Assignment Traffic Characteristics Traffic Equilibrium Traffic Flow Travelers User Equilibrium

  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.
  
  
• Format:
  PDF
• Funding:
  SPR-3214
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:aeee0faeac8f7e76247d718c0b4670e1a59cd0c6a55453e0b63288177c583bc315adf4ba15a55d411aba140131a34823bcb97972d073cda0731de6b7f727d5e0
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23815/dot_23815_DS1.pdf
• File Type:
  [PDF - 5.81 MB ]