About Us

Members and Partners

Our Tier I Transportation Informatics University Transportation Center (TransInfo UTC) is a consortium of four national universities as its members and one research corporation as a non-member partner. The four universities have assembled an outstanding team with exceptional credentials to address the research topics proposed for TransInfo, and to ensure the achievement of the objectives and goals set for the Center. 

  • 11/2/17

    UB is the premier public research university in the northeastern United States and the largest and most comprehensive campus in the 64-campus SUNY system.

    Leader Scholar: Dr. Adel W. Sadek

  • 11/1/17

    RPI is America’s first technological research university and a leader in educating men and women in vanguard technological and scientific fields.

    Leader Scholar:
    Dr. Xuegang (Jeff) Ban

  • 11/1/17

    GMU is a young university that has made impressive strides in size, stature and influence. Today, GMU is Virginia’s largest public research university.

    Leader Scholar:
    Dr. Shangjian Zhu

  • 11/1/17

    The Mayagüez Campus of the University of Puerto Rico is a co-educational, bilingual, and non-sectarian school with 106 years of educational excellence.

    Leader Scholar:
    Dr. Ivette Cruzado

  • 11/1/17

    CUBRC is a leading research, development, testing and systems integration company specializing in the areas of data science and information fusion; chemical, biological and medical sciences; and aeronautics.

We aim to become leaders in the transportation informatics field by harnessing the power of big data and informatics to address society's critical transportation problems.

TransInfo and Big Data

Thanks to the latest advances in information technologies, transportation professionals currently operate in an extremely data-rich environment, compared to the environment of a few decades ago. The sources of these data are varied. 

  • First, there is the wealth of real-time traffic data resulting from the deployment of Intelligent Transportation Systems (ITS) technologies, including data from fixed sensors, probe vehicles, weigh-in-motion (WIM) stations, Automatic Vehicle Location (AVL) systems onboard buses and other fleets, and in the future from the Connected Vehicle (CV) initiative.  
  • Second, there are the very useful travel-related data that may be gleaned from mining publicly available social media data such Twitter, Facebook, Foursquare, and Google+, and which could provide unique insight into traveler behavior, while offering a cost-effective alternative to the traditional methods of collecting travel behavioral data.  
  • Third, there are data coming from large-scale transportation field tests, experiments and studies.  Chief among those studies is the recent SHRP2 Naturalistic Driving Experiment which is expected to yield in excess of 1 petabyte of data regarding risky maneuvers, lane departures, near-crashes and driver behavior right before accidents’ occurrences.  
  • Fourth, there are data coming from remote sensing and spatial technologies, which have numerous applications for infrastructure management, environmental impact assessment, land-use modeling, regional traffic monitoring, post-disaster assessment, and safety hazard identification.
  • Last, but not least, there are freight-related data in the form of trade flows, commodity flows, modal flows, logistics and supply chains, and emergency goods needs.

The volume, variety, quality and resolution of transportation-related “Big Data” currently present the transportation community with an unprecedented opportunity for improving system performance. TransInfo’s mission will be to undertake research, education, training, and technology transfer activities aimed at realizing the full potential of “Big Data” and Transportation Informatics in: (1) improving transportation system performance; and (2) guiding investments and policies.