講座題目：Big Data for SMARt Transportation analytics: a summary of research projects

主講人：Satish V Ukkusuri教授，美國普渡大學(xué)

時(shí)間：2016年5月4日星期三13:30-15:30

地點(diǎn)：交通運(yùn)輸學(xué)院報(bào)告廳

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Dr. Satish V. Ukkusuri is a Professor in the Lyles School of Civil Engineering at Purdue University where he teaches courses in transportation systems and freight and logistics planning. Dr. Ukkusuri is a member of the Transportation and Infrastructure group at Purdue. Dr. Ukkusuri is a co-lead of the Building Sustainable Communities cluster hire at Purdue University with a goal of hiring seven faculty in this interdisciplinary area.

講座摘要：

Over 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 as “Intelligent Cities”. This talk with present ongoing research on how very large scale data analytics is (re) shaping the solution to transportation mobility issues. This talk will discuss the speaker’s experience with geo-location data from Foursquare and Twitter can be used to characterize and predict activity patterns in an urban area. In addition, other data sets such as taxi cab GPS data, camera data and urban transit data will be discussed to demonstrate the potential for predicting network state and travel time using sample data sets collected at the Interdisciplinary Network Modeling Research group at Purdue University. Key methodological issues related to dynamic games and machine-learning approaches will be briefly discussed.