Estimating Time-dependent Origin-Destination Demand Matrix using Partial Dynamic and Partial Static Traffic Counts

The authors present a micro-simulation based approach to estimate time-dependent origin-destination (OD) demand matrices for a general network, given a priori aggregated OD matrix, and dynamic traffic counts for a partial set of the links and static traffic counts for another partial set of links in the network. This model is formalized as a bi-level optimization framework. The upper level is a constrained least square problem, including the influence of dynamic link counts, static link counts, and a priori aggregated OD matrix. The lower level is a microscopic traffic simulation process, where flow proportion parameters are obtained. The microscopic traffic simulation is implemented with the simulator Quadstone PARAMICS 6.5. The authors present the first work to measure the impact of the observed static link counts data in dynamic traffic demand estimation problem, and the case study shows the static traffic link counts improves the estimated results. Some inherent difficulties in the dynamic traffic demand estimation problem are also discussed and solutions are suggested.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; References; Tables;
  • Pagination: 18p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01155175
  • Record Type: Publication
  • Report/Paper Numbers: 10-4123
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 12:08PM