Second Annual Symposium on Transportation Informatics
August 4th & 5th, 2016 - George Mason University, Arlington Campus - Arlington, Virginia
Meet the 2016 Keynote Speakers
The Transportation Informatics Tier I University Transportation Center (TransInfo UTC) is honored by your particiption in the 2nd Annual Symposium on Transportation Informatics. TransInfo UTC is one of the leading transportation research centers in the United States that is supporting the Internet of Things (IoT) big data revolution and the only University Transportation Center in the nation that specializes in transportation informatics.Learn more about our collaborative center by signing up for our newsletter: click here to sign up.
Though the sympsoium concluded in early August, we look forward to your continued engagement - thank you for another successful forum for shaping the future of transportation!
Thanks to the latest advances in IoT, transportation professionals currently operate in an extremely data-rich environment, compared to the environment of a few decades ago. This has resulted in the coining of a new term to characterize the resulting data sets namely “Big Data”. Big Data involves massive volumes of data, from a variety of sources, being generated at a very high velocity or in real-time. Big Data Analytics or Informatics is the mining of Big Data for useful and actionable information.
In transportation, Big Data comes from a variety of sources. These include
- Real-time traffic data resulting from the deployment of Intelligent Transportation Systems (ITS) technologies, and in the very near future from Connected Vehicles (CV) and Connected Travelers.
- Travel-related data that can be gleaned from mining social media data such as Twitter, Facebook, Foursquare, and Google+, and other crowd-sourced data.
- Data forthwcoming from large-scale transportation field tests, experiments and studies, such as the SHRP2 Naturalistic Driving Experiment, and from the Safety Pilot model deployment study in Ann Arbor, Michigan.
- Data from remote sensing technologies, including unmanned aerial vehicles (UAV) or drones.
- Freight-related data in the form of trade flows, commodity flows, modal flows, logistics and supply chains, and emergency goods needs.