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Engineering and Technology

D-Index
70
Citations
18475
World Ranking
1039
National Ranking
351

Research.com Recognitions

  • 2014 - IEEE Fellow For pioneering research in intelligent transportation systems

Overview

Matthew Barth is affiliated with the University of California, Riverside in the United States. Their research work is primarily situated within the field of engineering, with significant contributions to subfields including automotive engineering, control and systems engineering, electrical and electronic engineering, transportation, and computer vision and pattern recognition.

The scientist's recent publications focus on topics related to intelligent transportation systems, autonomous vehicles, and traffic management. Notable recent papers include:

  • Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections (2022), published in IEEE Transactions on Intelligent Transportation Systems
  • Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication (2021), published in IEEE Transactions on Intelligent Transportation Systems
  • Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach (2020), published in IEEE Transactions on Intelligent Vehicles
  • Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation (2021), published in IEEE Transactions on Systems Man and Cybernetics Systems
  • Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey (2022), presented at the 2022 IEEE Intelligent Vehicles Symposium (IV)

The main topics covered by Matthew Barth in their research include:

  • Traffic control and management
  • Autonomous vehicle technology and safety
  • Vehicle emissions and performance
  • Transportation planning and optimization
  • Vehicular Ad Hoc Networks (VANETs)
  • Electric vehicles and infrastructure
  • Traffic prediction and management techniques

Frequent co-authors with whom they have collaborated include Cristina Olaverri-Monreal, Guoyuan Wu, Christoph Mecklenbraeuker, Nikos Papanikolopoulos, and Javier Barria.

The venues where Matthew Barth publishes most frequently reflect their focus on intelligent transportation and vehicular technologies:

  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • IEEE Intelligent Transportation Systems Magazine
  • Transportation Research Record Journal of the Transportation Research Board
  • IEEE Transactions on Intelligent Vehicles

Their contributions have been recognized by professional organizations, including being named an IEEE Fellow in 2014 for pioneering research in intelligent transportation systems.

Best Publications

  • The global positioning system and inertial navigation

    Jay Farrell;Matthew Barth

  • Real-World Carbon Dioxide Impacts of Traffic Congestion

    Matthew Barth;Kanok Boriboonsomsin

  • Energy and emissions impacts of a freeway-based dynamic eco-driving system

    Matthew J Barth;Kanok Boriboonsomsin

  • Eco-Routing Navigation System Based on Multisource Historical and Real-Time Traffic Information

    K. Boriboonsomsin;M. J. Barth;Weihua Zhu;A. Vu

  • Simulation model performance analysis of a multiple station shared vehicle system

    Matthew Barth;Michael Todd

  • Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model

    Matthew Barth;Theodore Younglove;George Scora

  • A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

    Ziran Wang;Yougang Bian;Steven E. Shladover;Guoyuan Wu

  • Modal Emissions Modeling: A Physical Approach

    Matthew Barth;Feng An;Joseph Norbeck;Marc Ross

  • Battery state-of-charge estimation

    Shuo Pang;J. Farrell;Jie Du;M. Barth

  • Lane Change and Merge Maneuvers for Connected and Automated Vehicles: A Survey

    David Bevly;Xiaolong Cao;Mikhail Gordon;Guchan Ozbilgin

  • Impacts of Road Grade on Fuel Consumption and Carbon Dioxide Emissions Evidenced by Use of Advanced Navigation Systems

    Kanok Boriboonsomsin;Matthew Barth

  • Development and Application of an International Vehicle Emissions Model

    Nicole Davis;James Lents;Mauricio Osses;Nick Nikkila

  • Arterial velocity planning based on traffic signal information under light traffic conditions

    Sindhura Mandava;Kanok Boriboonsomsin;Matthew Barth

  • Shared-use vehicle systems: Framework for classifying carsharing, station cars, and combined approaches

    Matthew Barth;Susan A. Shaheen

  • Dynamic ECO-driving for arterial corridors

    Matthew Barth;Sindhura Mandava;Kanok Boriboonsomsin;Haitao Xia

  • Real-time differential carrier phase GPS-aided INS

    J.A. Farrell;T.D. Givargis;M.J. Barth

  • DEVELOPMENT OF COMPREHENSIVE MODAL EMISSIONS MODEL: OPERATING UNDER HOT-STABILIZED CONDITIONS

    Feng An;Matthew Barth;Joseph Norbeck;Marc Ross

  • Reinforcement Learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management: Recent Advances and Prospects

    Xiasong Hu;Teng Liu;Xuewei Qi;Matthew Barth

  • Deep reinforcement learning enabled self-learning control for energy efficient driving

    Xuewei Qi;Yadan Luo;Guoyuan Wu;Kanok Boriboonsomsin

  • Real-Time Computer Vision/DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation

    Anh Vu;A. Ramanandan;Anning Chen;J. A. Farrell

  • Traffic Congestion and Greenhouse Gases

    Matthew Barth;Kanok Boriboonsomsin

  • Development of a Comprehensive Modal Emissions Model

    Matthew J Barth;Feng An;Theodore Younglove;George Scora

Frequent Co-Authors

Kanok Boriboonsomsin
Kanok Boriboonsomsin University of California, Riverside
Jay A. Farrell
Jay A. Farrell University of California, Riverside
Michael D. Todd
Michael D. Todd University of California, San Diego
Susan Shaheen
Susan Shaheen University of California, Berkeley
Huan Liu
Huan Liu Tsinghua University
Yi Zhang
Yi Zhang Nanyang Technological University
Robert Cervero
Robert Cervero University of California, Berkeley
Thomas D. Durbin
Thomas D. Durbin University of California, Riverside
Evelyn Blumenberg
Evelyn Blumenberg University of California, Los Angeles
Martin Wachs
Martin Wachs University of California, Los Angeles

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