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IRF Big Data for Transportation Webinar Now Available

Big Data in transportation has taken off, although the exact definition of this concept is still widely debated among researchers, practitioners, and government officials. Big Data usually refers to enormous volumes of information of diverse structures (or lack of structure) that cannot be analyzed using conventional relational databases and data mining techniques. Big Data for transportation can be generated by sources such as smartphones, digital photography, video monitoring systems, GPS, real-time control systems in automobiles, automatic vehicles, social media, etc.

Contact

For general inquiries, the P3 Center can be contacted at: p3policy@gmu.edu

Dr. Gifford, Center Director, can be contacted at: jgifford@gmu.edu

Phone: 703-993-2275
Fax: 703-993-8215

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Hosted by the International Road Federation

Wednesday May 28th, 2014

Guest presentations by:
Laurie Schintler, Associate Professor at George Mason University’s School of Policy, Government and International Affairs and
Dr. Shanjiang Zhu, Assistant Professor of Transportation Planning and Engineering at George Mason University

Big Data in transportation has taken off, although the exact definition of this concept is still widely debated among researchers, practitioners, and government officials. Big Data usually refers to enormous volumes of information of diverse structures (or lack of structure) that cannot be analyzed using conventional relational databases and data mining techniques. Big Data for transportation can be generated by sources such as smartphones, digital photography, video monitoring systems, GPS, real-time control systems in automobiles, automatic vehicles, social media, etc.