Time-Dependent Travel Time Estimation Model for Signalized Arterial Network

Travel time estimation on arterials is a challenging task for traffic engineers due to the interrupted nature of urban traffic flows. Many research efforts have been devoted on this topic, but their successes are limited and most of them can only be used for offline purposes. One of the drawbacks common to the previous studies is the under-utilization of traffic data from existing infrastructures. With the advancement of intelligent transportation systems, high-resolution detector and signal status data are available but not fully explored. In this paper, we propose and design a data-intensive time-dependent arterial travel time estimation model by exploiting the available detectors and signal status data from the existing infrastructures. Available high-resolution data are collected and analyzed to estimate the intersection delays and the arterial travel times are generated by aggregating the intersection delays based on the time of arrival. Performance of the proposed method is tested using a microscopic traffic simulation model, which simulates a hypothetical arterial network. Preliminary results have demonstrated that the proposed model can generate accurate time-dependent travel time under various traffic conditions.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References; Tables;
  • Pagination: 21p
  • Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

Filing Info

  • Accession Number: 01049653
  • Record Type: Publication
  • Report/Paper Numbers: 07-2650
  • Files: TRIS, TRB
  • Created Date: Feb 8 2007 7:21PM