Professor Matthew Barth received his B.S. degree in Electrical Engineering/Computer Science from the University of Colorado in 1984, and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of California, Santa Barbara in 1986 and 1990, respectively. Dr. Barth was also a member of the technical staff in the Advanced Technologies Division of General Research Corporation, Santa Barbara from 1985 to 1986. From 1986 to 1987 he conducted research at the University of Tokyo as a visiting research student. Upon completion of his Ph.D., Dr. Barth was a visiting researcher at Osaka University, Japan, conducting research in systems engineering from 1989 to 1991. Dr. Barth joined the College of Engineering in 1991, conducting research in Electrical Engineering and at the Center for Environmental Research and Technology (CE-CERT). Dr. Barth was named the Yeager Families Professor of Engineering in 2007.
PROFESSIONAL ACTIVITY
Dr. Barth is Director of CE-CERT and also leads the Transportation Systems Research group, consisting of several full-time staff members as well as undergraduate and graduate students. Dr. Barth is a member of the Institute of Electrical and Electronic Engineers (IEEE) and serves on the IEEE Intelligent Transportation System Society’s Board of Governors. He is also a member of the IEEE Vehicular Technology Society, Transportation Research Board’s Transportation and Air Quality Committee, and New Technology Committee, and ITS America’s Sustainability Committee. He has also served on several National Research Council (NRC) committees.
RESEARCH TOPICS
Dr. Barth’s research focuses on applying engineering system concepts and automation technology to Transportation Systems, and in particular how it relates to energy and air quality issues. The importance of this research area lies in the fact that transportation growth is becoming a critical issue worldwide, with potential large negative impacts on mobility, travel time, economics, and on the environment. By applying engineering principles and system techniques, Dr. Barth’s research focuses on making transportation more efficient, intelligent, and better for the environment. Current research interests include Intelligent Transportation Systems, Transportation/Emissions Modeling, Vehicle Activity Analysis, Electric Vehicle Technology, Robotics, Computer Vision, and Advanced Sensing and Control.
LATEST RESULTS
· Designed, developed, and implemented an ECO-Friendly Navigation System for cars and trucks.
· Developed congestion-based energy and emissions datasets for use in ITS Project evaluations.
· Implementation of an intelligent shared electric vehicle system on the UCR campus, called UCR IntelliShare
· Design and implementation of a sophisticated shared-use vehicle system computer model
· Completion of a Comprehensive Modal Emissions Model (CMEM) for estimating transportation air quality effects
· Design and implementation of a state-of-the-art Integrated Transportation/Emissions Modeling suite
AWARDS and HONORS
· South Coast Air Quality Management District Clean Air Award for Innovative Transportation, 2010
· Transportation Research Board Pyke Johnson Award, 2006
· Member of the California Governor’s Expert Review Panel on Transportation Research and Technology, 2006
· Invited Speaker and Participant of the National Academy of Engineering’s Annual Symposium on Frontiers of Engineering, 2006
· Discover Magazine Awards for Technological Innovation, National Finalist 2001.
RECENT SELECTED PUBLICATIONS
M. Barth and K. Boriboonsomsin (2009) “Energy and Emissions Impacts of a Freeway-Based Dynamic Eco-Driving System”, Transportation Research Part D: Environment 14, 400-410, Elsevier Press.
W. Zhu, K. Boriboonsomsin, and M. Barth (2009) “Defining a Freeway Mobility Index for Roadway Navigation”, Journal of Intelligent Transportation Systems 14(1), 37-50.
Li, M., Boriboonsomsin, K., Wu, G., Zhang, W.-B., and M. Barth (2009). “Traffic energy and emission reductions at signalized intersections: a study of the benefits of advanced driver information.” International Journal of Intelligent Transportation Systems Research, 7(1), 49-58.
M. Barth and K. Boriboonsomsin (2008) “Real-World CO2 Impacts of Traffic Congestion”, Transportation Research Record No. 2058, pp 163-171, Transportation Research Board, National Academy of Science.
J. Du, J. Masters, M. Barth (2008) “Next Generation Automated Vehicle Location Systems: Postioning at the Lane-Level”, IEEE Transactions on Intelligent Transportation Systems, Vol. 9, No. 1, pp 48-57.
H. Xu, M. Barth, “Travel Time Estimation Techniques for Traffic Information Systems on Inter-Vehicle Communications,” (2006) Transportation Research Record, 1944, Journal of the Transportation Research Board, National Academy of Science, pp. 72 - 81.
M. Barth, G. Scora, T. Younglove, (2004) “A Modal Emission Model for Heavy Duty Diesel Vehicles,” Transportation Research Record, Journal of the Transportation Research Board, National Academy of Sciences, 1880, pp. 10 - 20.
M. Barth, S. Shaheen, (2002) “Shared-use vehicle systems: a framework for classifying carsharing, station cars, and combined approaches,” Transportation Research Record, Journal of the Transportation Research Board, National Academy of Sciences, Record No. 1791, pp. 105-112.
M. Barth, M. Todd, H. Murakami, (2000) “Using intelligent transportation system technology in a shared electric vehicle program,” Transportation Research Record, J. of the Transportation Research Board, National Academy of Sciences, Record No. 1731, pp. 88-95.
F. An, M. Barth, J. Norbeck, M. Ross (1997) “Development of comprehensive modal emissions model: operating under hot-stabilized conditions,” Transportation Research Record, J. of the Transportation Research Board, National Academy of Sciences, Record No. 1587, pp. 52-62.
Barth, M., F. An, J. Norbeck, and M. Ross. (1996) Modal emissions modeling: a physical approach. Transportation Research Record No. 1520, pp. 81-88, Transportation Research Board, National Academy of Science.
Farrell, J. A and M. Barth. (1999) The Global Positioning System and Inertial Navigation: Theory and Practice. McGraw-Hill.