Transportation Model in the Boston Metropolitan Area from Origin Destination Matrices Generated with Big Data

Origin destination matrices (OD) constitute the basic representation of the travel demand in cities; they are crucial for traffic assignment, decisions about commercial and residential planning, as well as quantifying the usage of road infrastructures. OD calibrated models are a classical example of a challenge due to the lack of data. This is because ODs are currently based on travel surveys that are limited in size, get outdated and are very expensive to generate. The aim of this proposal is to augment current travel demand models of the Great Boston Metropolitan Area with the mobility information of 680,000 mobile phone users collected over several months, and to develop transportation applications for the region. The first specific goal is to use this information to augment current travel models of the region and explore the impact of this data transfer into the conventional models. Second, we will use the big data generated ODs to develop a study of the resilience of road networks. Additionally, we will investigate urban mobility choices related to point of interests (POIs) in the city and the social network of the same mobile phone users that generate the ODs.

  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.


  • English


  • Status: Completed
  • Funding: $140000.00
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Start Date: 20120101
  • Expected Completion Date: 0
  • Actual Completion Date: 20160131
  • Source Data: RiP Project 35267

Subject/Index Terms

Filing Info

  • Accession Number: 01492606
  • Record Type: Research project
  • Source Agency: New England University Transportation Center
  • Contract Numbers: DTRT12-G-UTC01, MITR24-5
  • Files: UTC, RiP
  • Created Date: Sep 11 2013 1:00AM