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Institute for Sustainable Transportation & Logistics Seminar
November 14th, 2013 12:30 PM - 1:30 PM
140 Ketter Hall | University at Buffalo North Campus
Xuegang (Jeff) Ban, Assistant Professor in the Civil and Environmental Engineering Department at Rensselaer Polytechnic Institute (RPI), will give a presentation titled "Fine-Grained Urban Traffic Knowledge Extraction Using Mobile Sensing" (PDF).
Mobile sensing, such as GPS devices and cellular phones, once widely available, can significantly enhance current traffic monitoring, data collection, and modeling applications. This research focuses on extracting detailed (fine-grained) traffic knowledge (such as queue lengths, emissions/fuel consumption, among others) for an urban environment using mobile sensing. The focus is on signalized urban intersections and corridors. Particularly discussed will be (i) what form of mobile data should be collected and used for knowledge extraction by considering the needs of both privacy protection and traffic modeling; and (ii) mobile-sensing- based traffic modeling methods that can best utilize the collected mobile data for extracting traffic knowledge. Mobile sensing is one of the key enabling technologies for the advent of Transportation Big Data. Some potential future research topics will also be presented and discussed regarding specific schemes for learning/mining transportation Big Data to extract useful transportation knowledge.