Kaan M.A. Özbay joined Department of Civil and Urban engineering and Center for Urban Science and Progress (CUSP) at NYU in August 2013. Professor Ozbay was a tenured full Professor at the Rutgers University Department of Civil and Environmental Engineering. He joined Rutgers University as an Assistant Professor in July, 1996. In 2008, he was a visiting scholar at the Operations Research and Financial Engineering (ORFE) Department of Princeton University.
Dr. Ozbay is the recipient of the prestigious National Science Foundation (NSF) CAREER award. Dr. Ozbay is the co-editor of a new book titled “Dynamic Traffic Control & Guidance” published by Springer Verlag’s "Complex Social, Economic and Engineered Networks" series in 2013. In addition to this book, Dr. Ozbay is the co-author of three other books titled “Feedback Based Ramp Metering for Intelligent Transportation Systems” published by Kluwer Academics in 2004, "Feedback Control Theory for Dynamic Traffic Assignment", Springer-Verlag and “Incident Management for Intelligent Transportation Systems” published by Artech House publishers both in 1999.
Dr. Ozbay published approximately 300 refereed papers in scholarly journals and conference proceedings. Professor Ozbay serves as the “Associate Editor” of Networks and Spatial Economic journal and Transportmetrica B: Transportation Dynamics journal. He is a member of the editorial board of the ITS journal.
Professor Ozbay served as the elected member of Board of Directors of the Intelligent Transportation Society of New Jersey in 2013. He is also a current member of the Board of Directors of the University Transportation Research Center (UTRC) at the City University of New York – USDOT’s Region 2 University Transportation Center.
Since 1994, Dr. Ozbay, has been the Principal Investigator and Co-Principal Investigator of 80 projects funded at a level of more than $11,00,000 by National Science Foundation, NJDOT, NYMTC, NY State DOT, New Jersey Highway Authority, USDOT, FHWA, VDOT, CUNY University Transportation Research Center (UTRC), Department of Homeland Security, USDOT ITS Research Center of Excellence. He was the founding director of the Rutgers Intelligent Transportation Systems (RITS) laboratory.
Bogazici University, Istanbul, Turkey1988
Bachelor of Science, Civil Engineering
Virginia Tech, Blacksburg, Virginia 1991
Master of Science, Civil and Environmental Engineering (Transportation)
Virginia Tech, Blacksburg, Virginia 1996
Ph.D., Civil and Environmental Engineering (Transportation)
From: July 1996 to July 2013
Representative recent papers
1. Yang*, H. Bartin, B., and Ozbay K. “Mining the Characteristics of Secondary Crashes”. ASCE Journal of Transportation Engineering, 2013. doi: 10.1061/(ASCE)TE.1943-5436.0000646).
2. Ozbay, K., Xiao*, W., Iyigun, C., Gursoy, M. "Probabilistic Programming Models for Response Vehicle Dispatching and Resource Allocation in Traffic Incident Management". Journal of Annals of Operations Research, March 2013, Volume 203, Issue 1, pp 389-406. doi: 10.1007/s10479-012-1174-6.
3. Ozguven*, E.E. and Ozbay K., “A Secure and Efficient Inventory Management System for Disasters, Transportation Research Part C, Volume 29, pp. 171-196, 2013, doi:10.1016/j.trc.2011.08.012 .
4. Hong*, Y. Ozbay, K., Ozturk*, O., Yildirimoglu*, M. “Modeling work zone crash frequency by quantifying measurement errors in work zone length”. Accident Analysis and Prevention Journal, Volume 55, June 2013, Pages 192–201, Elsevier.
5. Holguin-Veras, J., Wang, Q., Xu, N., Ozbay, K., “The Impacts of Time of Day Pricing on Car User Behavior: Findings from the Port Authority of New York and New Jersey’s Initiative”, Transportation, Springer, Vol.38, Issue 3, pp.427-443, May 2011.
1. “Dynamic Traffic Control & Guidance “(Book based on the NSF Workshop Conducted in the Summer of 2010 at Rutgers University), Edited Volume as part of the Springer Verlag’s "Complex Social, Economic and Engineered Networks" series Vol.2, 2013 (Book Co-Edited with S. Ukkusuri).
Development of simulation models of large scale complex transportation systems, advanced technology and sensing applications for Intelligent Transportation Systems, modeling and evaluation of traffic incident and emergency management systems, feedback based on-line real-time traffic control techniques, traffic safety, application of operations research techniques in network optimization and humanitarian inventory control, and transportation economics.