January 7-11, 2018
Washington, D.C.
TRB 97th Annual Meeting
153

Big Data Applications and Methods in Transportation

Sunday, January 07, 2018, 1:30 PM-4:30 PM, Convention Center
Mecit Cetin, Old Dominion University; Kristin Tufte, Portland State University; Francisco Pereira, Technical University of Denmark, presiding
Sponsored by Standing Committee on Urban Transportation Data and Information Systems; Standing Committee on Information Systems and Technology; Standing Committee on Geographic Information Science and Applications; Standing Committee on Artificial Intelligence and Advanced Computing Applications; Standing Committee on Visualization in Transportation; Standing Committee on Transportation Demand Forecasting; and Standing Committee on Transportation Issues in Major Cities

As the volume of transportation data grows, users grapple with the basics of big data implementation. The highest-priority request from more than 200 attendees of the 2017 Big Data Analytics Workshop was for case studies and examples of implementation. This workshop provides case studies of big data methods used in practice and hands-on analysis. The results of the workshop will be documented in a workbook and disseminated through the sponsoring committees.

Maricopa Association of Governments Case Study
Vladimir Livshits, Maricopa Association of Governments

 

Deep Learning in Transportation
Anuj Sharma, Iowa State University

 

Tools for Management and Monitoring of Transport Big Data
Nikola Ivanov, University of Maryland, College Park

 

UC Berkeley's and Caltrans' New Cloud Based Data Hub
Francois Dion, University of California, Berkeley