Issue Date: 2014-12
Overview: Big Data’s Implications for Transportation Operations: An Exploration
The purpose of this white paper is to expand the understanding of big data for transportation operations, the value it could provide, and the implications for the future direction of the U.S. Department of Transportation (USDOT) Connected Vehicle Real-Time Data Capture and Management (DCM) Program. Big data – described briefly below and fully in Chapter 2 – is an approach to generating knowledge in which a number of advanced techniques are applied to the capture, management and analysis of very large and diverse volumes of data – data so large, so varied and analyzed at such speed that it exceeds the capabilities of traditional data management and analysis tools. This paper is not intended as a primer or “how to” on big data, per se, but rather is intended to explore the potential value of big data approaches in a future connected vehicle environment.
Publication Number: FHWA-JPO-14-157, VNTSC-FHWA-14-13
Source Organization Location: Washington, DC
Authors: Burt, Matthew Cuddy, Matthew Razo, Michael
Corporate Authors:
Volpe National Transportation Systems Center
55 Broadway
Cambridge, MA United States 02142
Department of Transportation
Intelligent Transportation Systems Joint Program Office
1200 New Jersey Avenue, SE
Washington, DC United States 20590