Robust Performance of Transportation Networks Using Quantile Metrics

State of the art in transport network modeling is based on the estimation of travel demands between origins and destinations (O-D matrices) by various techniques. The analysis culminates with a network assignment procedure that generates the volumes and costs associated with those volumes on the links and paths of the network. This study will develop new metrics for transport network assessment by taking explicit account of demand variability and uncertainty. The metrics consist of the calculation of quantile network costs. The assessment methodology can lead to improved decision-making in transport planning and operations and can be used to develop management and control strategies that result in more robust network performance. Innovative contributions consist of: (1) Characterization of O-D demand variability using living laboratory data. (2) Development of p-quantile metrics for network performance. (3) Computational procedures to assess performance using p-quantile metrics. (4) Calculation of robust controls using different strategies.


  • English


  • Status: Completed
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    Department of Transportation
    1200 New Jersey Avneue, SE
    Washington, DC  United States  20590
  • Performing Organizations:

    New England University Transportation Center

    Massachusetts Institute of Technology
    77 Massachusetts Avenue, Room 40-279
    Cambridge, MA  United States  01239
  • Start Date: 20120101
  • Expected Completion Date: 0
  • Actual Completion Date: 20160131
  • Source Data: RiP Project 33380

Subject/Index Terms

Filing Info

  • Accession Number: 01489789
  • Record Type: Research project
  • Source Agency: New England University Transportation Center
  • Contract Numbers: DTRT12-G-UTC01, UMAR24-21
  • Files: UTC, RiP
  • Created Date: Aug 15 2013 1:01AM