University of California, Riverside

Bourns College of Engineering



Matthew Barth


Faculty Profile

Faculty Profile

Matthew Barth

Professor of Electrical Engineering
Matthew Barth

Ph.D. Electrical and Computer Engineering
University of California, Santa Barbara, 1990

342 Winston Chung Hall
University of California, Riverside
Riverside, CA 92521

Telephone: 951-827-5782
Facsimile: 951-827-5744
E-mail: barth@ee.ucr.edu
Personal Webpage

Former Institutions: None

Biography

  • Yeager Family Chair
  • Director, College of Engineering Center for Environmental Research and Technology

Professor Barth received his B.S. degree in Electrical Engineering/ Computer Science from the University of Colorado in 1984, and M.S. (1985) and Ph.D. (1990) degrees in Electrical and Computer Engineering from the University of California, Santa Barbara. Professor 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., Professor Barth was a visiting researcher at Osaka University, Japan, conducting research in systems engineering from 1989 to 1991. Dr. Barth joined the University of California-Riverside in 1991, conducting research in Electrical Engineering and at the Center for Environmental Research and Technology (CE-CERT), where he is currently director and the Yeager Families Chair. Professor 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. His current research interests include Intelligent Transportation Systems, Transportation/ Emissions Modeling, Vehicle Activity Analysis, Electric Vehicle Technology, and Advanced Sensing and Control. Professor Barth is active in the U.S. Transportation Research Board currently serving on the Transportation and Air Quality Committee and the Intelligent Transportation Systems Committee. He was awarded the TRB Pyke Johnson Award for TRB outstanding paper in 2007. In 2011, he was one of the winners of the Connected Vehicle Technology Challenge sponsored by U.S. Department of Transportation’s Research and Innovative Technology Administration (RITA). He has also served on a number of National Research Council (NRC) committees. Professor Barth has also been very active within IEEE Intelligent Transportation System Society for many years, participating in their conferences as a presenter, invited session organizer, session moderator, program chair, associate editor of the Transactions of ITS, and member of the IEEE ITSS Board of Governors. He is currently finishing his term as the IEEE ITSS Vice President for Conferences and is the President-Elect for 2013 and President for 2014-2015.

Degrees

  • B.S. Electrical Engineering/Computer Science 1984 University of Colorado
  • M.S. Electrical and Computer Engineering 1986 University of California, Santa Barbara
  • Ph.D. Electrical and Computer Engineering 1990 University of California, Santa Barbara

Awards and Honors

  • Yeager Families Endowed Chair in Engineering at UC Riverside, 2007 – present
  • President, IEEE Intelligent Transportation Systems Society, 2014 - 2015
  • Federal Highway Administration Connected Vehicle Technology Challenge Award, 2011
  • Innovative Transportation Systems Clean Air Award, Air Quality Management District (with Honda), 2010
  • Member of the Governor’s Expert Review Panel on Transportation Research and Technology, 2008
  • Transportation Research Board Pyke Johnson Award , 2006
  • Invited Speaker and Participant of the National Academy of Engineering’s 2006 Annual Symposium on Frontiers of Engineering
  • Discover Magazine Awards for Technological Innovation, National Finalist 2001
  • Tau Beta Pi: Outstanding Teaching Assistant in Electrical and Computer Engineering, 1988
  • NASA: Public Service Group Achievement Award for the control and operations of university satellite, 1984

Research Areas

The primary focus of Professor Barth’s research is on transportation-related energy and environmental issues. Specific research areas include the integration of transportation/emissions modeling and their application of these models to intelligent transportation systems (ITS). One of his key long-term research goals is the development a new generation of models that can accurately predict the energy and air quality impacts of transportation systems, operating both at the micro- and macro-scale level-of-detail. Existing computer models lack sufficient detail required to properly predict energy and air quality impacts from transportation. Shortcomings of these models/data include inaccurate characterization of actual driving behavior and a disregard of important vehicle operating parameters that affect fuel consumption and emissions. The development of better modeling tools has led to 1) integrating these models with a variety of transportation simulation models; 2) using the modeling framework to evaluate the impact of goods movement on energy and emissions; 3) using the modeling framework to evaluate the impact of road grade and traffic flow on energy and air quality for small regional highway networks; 4) applying the developed techniques to megacities (e.g., Los Angeles, Shanghai); 5) evaluating a wide variety transportation measures such as high occupancy vehicle lanes, high-occupancy toll lanes, and bus rapid transit on regional emissions; 6) developing new methods for acquiring vehicle activity data to support energy/emissions analyses; and 7) evaluating the relationship between traffic congestion, fuel consumption and emissions. In recent years, a major focus of Professor Barth’s research is on energy and environmental issues of Intelligent Transportation Systems. Due to the recent increased concern with global climate change and air quality, this research area has high interest worldwide. This has led to the development of several specific “environmentally-friendly” ITS technologies such as: 1) Eco-Routing Navigation Systems, which aim to determine the minimum fuel consumption/emissions route between vehicle trip origins and destinations; 2) Vehicle Navigation Technology Research, specifically in lane-level vehicle positioning and mapping; 3) Dynamic Eco-Driving Systems, which provide real-time advice to drivers so that they can adjust their driving actions to save fuel and reduce emissions; and 4) Eco-Traffic Signal Systems, which allow vehicles and traffic lights to communicate in order to minimize fuel/emissions as vehicles travel down a signalized corridor.

Selected Publications

 

  • Vu, A, Ramanandan, A, Chen, A, Farrell, J; Barth, M. Real-Time Computer Vision/DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation, IEEE Transactions on Intelligent Transportation Systems, 2012; 13(2):899-913.
  • K. Boriboonsomsin, M. Barth, W. Zhu, A. Vu, “Eco-Routing Navigation System Based on Multisource Historical and Real-Time Traffic Information”, IEEE Transactions on Intelligent Transportation Systems, Vol. 13, No. 4, pp. 1694 - 1704, 2012.
  • M. Barth, K. Boriboonsomsin, “Environmentally Friendly Driving Navigation”, US Patent #8,255,152, 2012.
  • Zhu W, Boriboonsomsin K, Barth M. Defining a freeway mobility index for roadway navigation. Journal of Intelligent Transportation Systems. 2010; 14(1):37-50.
  • Barth M, Boriboonsomsin K. Energy and emissions impacts of a freeway-based dynamic eco-driving system. Transportation Research Part D. 2009; 14:400-10.
  • M. Barth and K. Boriboonsomsin “Real-World CO2 Impacts of Traffic Congestion”, Transportation Research Record No. 2058, 163-171, National Academies Press, 2008.
  • Collins J, Sheperd P, Durbin T, Lents J, Norbeck J, Barth. Measurements of In-Use Emissions from Modern Vehicles Using an On-Board Measurement System. Environmental Science and Technology. 2007; 41:6554-61.
  • M. Barth, F. An, J. Norbeck, M. Ross, “Modal Emissions Modeling: a Physical Approach,” Transportation Research Record, No. 1520, pp. 81-88, National Academies Press, 1996.
  • National Research Council (ed.), Modeling Mobile-Source Emissions, ISBN 0-309-07088-0, National Academies Press, 2000.
  • J. Farrell, M. Barth, ''The Global Positioning System and Inertial Navigation: Theory and Practice,'' , McGraw-Hill Publishing, 7 chapters, 370 pp., 1999.

More Information 

General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

College Information

Bourns College of Engineering
446 Winston Chung Hall

Tel: (951) 827-5190
Fax: (951) 827-3188
E-mail: collegeinfo@engr.ucr.edu

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