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Xuegang (Jeff) Ban, assistant professor in the Department of Civil and Environmental Engineering at Rensselaer, has won a prestigious Faculty Early Career Development Award (CAREER) from the National Science Foundation (NSF). “Jeff is conducting research critical to our nation’s future and is an emerging authority in the areas of transportation network modeling, traffic simulation, and intelligent transportation systems.” David Rosowsky Ban will use the five-year, $400,000 award to study how mobile devices including GPS and cellular phones can help monitor and optimize traffic systems, and reduce roadway congestion. “This is a tremendous honor for Dr. Ban, and we are extremely proud of him for being selected as an NSF CAREER Award recipient,” said David Rosowsky, dean of the School of Engineering. “Jeff is conducting research critical to our nation’s future and is an emerging authority in the areas of transportation network modeling, traffic simulation, and intelligent transportation systems. We are thrilled to count Jeff among the growing number of NSF CAREER award recipients at Rensselaer, and we look forward to watching his academic career here thrive and flourish.” Ban’s CAREER program, titled “Using Mobile Sensors for Traffic Knowledge Extraction and Dynamic Network Management,” seeks to develop the foundations for an entirely new area of transportation science. He aims to tackle the key challenges of using cell phones, GPS, and other devices to provide data that can be incorporated into next-generation traffic monitoring and management systems. Current systems rely on fixed data collection points, which suffer from limited coverage and are slow to adapt to traffic congestions, accidents, and emergencies. Ban’s vision is to actively learn traffic system states and better manage the system based on “crowdsourcing” mobile device data that protects a driver’s anonymity while actively responding to changing traffic conditions. |
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Inside Rensselaer, Strategic Communications and External Relations 1000 Troy Building, 110 Eighth Street, Troy, N.Y. 12180 or to leibat@rpi.edu. |
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