CE Podwal seminar series
Tue, Mar 12
12:10 PM — 1:00 PM
Steinman Hall160 Convent Ave.New York, NY 10031
Steinman Hall, Exhibit Room (1st Floor)
Use of Large Scale Social Media Geo-Location Data for ITS ApplicationsOver the last several years many private and public sector agencies have been interested in how data, social media, mobile technologies, and data visualization can help us manage our urban environments. IBM has coined the term “Smart Cities” to describe the recent development in this area, while CISCO calls it “Intelligent Cities”. This talk with present ongoing research on how very large scale social media data can be used to harness for transportation applications. Specifically, this study will use data from Foursquare and Twitter to characterize and predict activity patterns in an urban area. In addition, the potential role of this datasets for predicting network state and travel time will be discussed using sample data sets collected at the Interdisciplinary Network Modeling Research group at Purdue University.
Speaker: Dr. Ukkusuri is recognized nationally and internationally in the area of transportation network modeling and disaster management. He leads the Interdisciplinary Transportation Modeling and Analytics Lab at Purdue. His current areas of interest include: dynamic traffic modeling, network design, use of real-time information for travel time prediction, use of large scale disaggregate data sets to predict traffic system state, signal control with vehicle to vehicle/infrastructure (V2V and V2I) information exchange, behavioral issues in natural hazards such as hurricanes, evacuation modeling, modeling cap and trade policies, modeling policy questions related to plug-in electric vehicles, freight traffic networks, logistics and safety modeling. He uses interdisciplinary modeling techniques to address issues at the intersection of multiple disciplines. He has published methodological works and practical papers on the above topics in peer reviewed journals and conferences. Dr. Ukkusuri's work has been funded by the National Science Foundation, the U.S. Department of Transportation, New York Metropolitan Transportation Council (NYMTC), State Departments of Transportation including NYSDOT, NJDOT and NYCDOT, Global Policy Research Institute and Purdue Research Foundation.