Making More Value out of Transportation Data

Over the past decades, tremendous investments have been made to advance technologies in computing, sensing, and communication to collect, process, and disseminate transportation-related data. As such, transportation system operators and users have timely information to make educated decisions to improve safety and mitigate congestion. These investments can become more productive if the following problems can be properly addressed: (1) effective algorithms to process huge volume of transportation data, (2) creative approaches to merge a variety of transportation data, (3) advanced tools to increase the velocity of information retrieving, processing, and delivering. This research aspires to explore solutions to these problems and the effort will be facilitated by the Regional Traveler Information Center (RTIC) at the University of Massachusetts (UMass) Amherst. As a starting point, this research will focus on two basic problems: (1) variety: developing effective algorithms to convert traffic data in different forms so that these data can be merged to provide complementary perspectives on the real system, and (2) velocity: developing applications to disseminate transportation information in a timely fashion to enable better decision-making by road users, system operators, and emergency responders. This research responds to the Grant Theme of Big Data.


  • English


  • Status: Completed
  • Funding: $12228.00
  • Contract Numbers:



  • Sponsor Organizations:

    Pipeline and Hazardous Materials Safety Administration

    U.S. Department of Transportation
    East Building, 2nd Floor 1200 New Jersey Avenue, 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: 20131231
  • Source Data: RiP Project 33384

Subject/Index Terms

Filing Info

  • Accession Number: 01468772
  • Record Type: Research project
  • Source Agency: New England University Transportation Center
  • Contract Numbers: DTRT12-G-UTC01, UMAR24-23
  • Files: UTC, RiP
  • Created Date: Jan 11 2013 1:01AM