Data Science and Transportation
Report: Data Science
Big Data Analytics and Transportation
Report coming in Fall 2015
Big data has arrived in the transportation industry, and is already being leveraged for new insights. Untold numbers of sensors in the transportation system, either newly deployed or previously unconnected to the outside world, have driven exponential growth in so-called observation data.
The real opportunity big data presents to the transportation industry lies in the advanced analytics and processing stages of the data lifecycle, and specifically, through the application of data science. Data science can be defined as the extraction of useful, non-trivial, and potentially actionable patterns or models from large bodies of data. Data science combines advanced analytic techniques, such as data mining and machine learning, with new data-driven organizational mindsets to turn large and messy data sets into insights that can directly support decision making and drive value capture.
This technology scan report finds that data science is a powerful guiding set of principles that could enable significant safety, mobility, and efficiency benefits to the transportation system. ITS systems, including potential connected vehicle applications, are prime candidates for the application of data science to facilitate the realization of these benefits. The extent to which transportation companies, government agencies, and/or the research community can address the key institutional and cultural barriers surrounding data more generally will drive the adoption of data science applications in the industry moving forward.
Contacts for ITS America’s Technology Scan
This report is part of the Technology Scan and Assessment series. To learn more about USDOT’s Connected Vehicle Research, visit USDOT ITS Joint Program Office website and read the Technology Scan and Assessment Fact Sheet.