Gap Recognition Approach to Delay Estimation on Urban Streets

Vehicle delay is one of the most valuable measures for engineers to evaluate the performance of a traffic system or control strategy. It is also often used to calculate the average speed of vehicles on urban streets for travel time estimation and vehicle navigation and guidance. Delay at a traffic network is commonly estimated by decomposing the network into links and nodes, where the local delay is calculated from each component and subsequently combined. How to estimate delay on the links without using expensive vehicle tracking devices has been a challenging problem because of the limited data acquisition power and frequent detector errors. Many researchers have been able to achieve various forms of successes on this topic. However, most reported successes have been built upon ideal conditions and theoretical models. To be sure, a practical model for reliable travel time estimation on urban links in real time is still lacking. A Gap Recognition Approach to Delay Estimation (GRADE) is introduced and tested in this paper. This approach makes use of the existing traffic detection system to estimate link travel time for delay calculation between two intersections. Detection errors have been treated through gap based data partitioning to limit their impact. Preliminary evaluation has shown that GRADE is able to yield reliable results in lab simulation as well as in field test. Not only reasonably accurate results can be obtained in real time, GRADE is also found very stable in different traffic conditions to handle data errors.

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Photos; References;
  • Pagination: 20p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01154461
  • Record Type: Publication
  • Report/Paper Numbers: 10-2200
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:00AM