Faculty

Institution

Unit

Venue

Matthew Barth

Professor & Assoc Dean for Research and Graduate Education; Esther and Daniel Hays Endowed Chair

University of California, Riverside

Affiliations

CHASS

Society, Environment, and Health Equity

Matthew Barth is currently serving as a Chass Professor & Assoc Dean for Research and Graduate Education; Esther and Daniel Hays Endowed Chair at University of California, Riverside.

Honors

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Experiences

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Education

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Matthew Barth

University of California, Riverside

Professor & Assoc Dean for Research and Graduate Education; Esther and Daniel Hays Endowed Chair

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transportation engineering environmental engineering transportation research systems engineering vehicular technology computer science engineering machine learning transportation planning traffic management logistics transport economics computer vision transport infrastructure sustainable transport transport phenomena air pollution mobility traffic engineering transportation systems transportation system management energy management artificial intelligence travel research machine vision automatic control transport geography traffic flow signalized intersections intelligent computing control optimization intelligent vehicles transport sector mobility modeling vehicle technology 3d computer vision autonomous driving vehicle control energy strategies infrastructure engineering environmental technology air quality emission control modal analysis positioning systems transport modelling traffic-related air pollution computational intelligence atmospheric environment sustainable development deep reinforcement learning route planning transportation policy mobility data exhaust emission emission reduction state estimation transport safety public transport route choice energy efficient drive intelligent control fuel consumption dynamic eco-driving vehicle trajectories signalized corridors roadside lidar emissions impacts road grade carbon dioxide emissions advanced navigation systems self-learning control modal emissions modeling arterial corridors signalized arterial corridors lane-level vehicle navigation intelligent systems sustainable transportation

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation. IEEE Transactions on Intelligent Vehicles (2024)

Xishun LiaoZhouqiao ZhaoMatthew J. BarthAmr AbdelraoufRohit GuptaKyungtae HanJiaqi MaGuoyuan Wu

computer sciencedata sciencedriver behaviordata modelinguser behavior modelingbehavioral sciences

Co-Benefits and Tradeoffs Between Safety, Mobility, and Environmental Impacts for Connected and Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems (2024)

Matthew Barth

connected carsvehicular technologytransportation systemsautonomous drivingenvironmental engineeringenvironmental impactsurban mobilityintelligent vehiclessafetyenvironmental safetyintelligent transportation systemsroad traffic safetymobility

Computationally Efficient Approach for Evaluating Eco-Approach and Departure for Heavy-Duty Trucks. Transportation Research Record Journal of the Transportation Research Board (2024)

Zhensong WeiPeng HaoAravind KailasPascal AmarKyle PalmeterLennard LevinStephen OrensMatthew BarthKanok Boriboonsomsin

logisticstransportation researchcomputational engineeringenvironmental engineeringecologytransportation planningtransportation engineeringsustainable transportheavy-duty truckstransport economicstransport efficiency

Eco-Approach at an Isolated Actuated Signalized Intersection: Aware of the Passing Time Window. Journal of Cleaner Production (2024)

Jia HuShuoyuan LiHaoran WangZiran WangMatthew J. Barth

environmental engineeringpassing time windowcleaner productionclean technologypublic healthjournalism

Ki-Gan: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Chuheng WeiGuoyuan WuMatthew J. BarthAmr AbdelraoufRohit GuptaKyungtae Han

deep learningcomputer sciencevehicular technologytransportation researchmobile computingtrajectory optimizationmachine learningsignalized intersectionstransportation planningtraffic managementtransportation engineeringsystems engineeringintelligent vehiclesforecastingapplied mathematicstraffic engineering

Pillar Attention Encoder for Adaptive Cooperative Perception. IEEE Internet of Things Journal (2024)

Zhengwei BaiGuoyuan WuMatthew J. BarthHang QiuYongkang LiuEmrah Akin SisbotKentaro Oguchi

computer scienceadaptive cooperative perceptionpillar attention encodermachine learningneurosciencecognitive sciencecomputer visioninternet of thingsattention

Vehicle Miles Traveled and Environmental Impacts From On-Demand Delivery: A Literature Review. International Conference on Transportation and Development 2022 (2024)

Haishan LiuPeng HaoShams TanvirAnurag PandeMatthew Barth

logisticstransportation researchenvironmental sciencevehicle milesenvironmental impactsliterature reviewon-demand delivery

Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside Lidar. IEEE Transactions on Intelligent Transportation Systems (2023)

Zhengwei BaiSaswat P. NayakXuanpeng ZhaoGuoyuan WuMatthew J. BarthXuewei QiYongkang LiuEmrah Akin SisbotKentaro Oguchi

deep learningcomputer sciencevehicular technologytechnologymobile computingmachine learningintelligent computingtransportation system managementmobility modelingsystems engineeringcomputer visionmachine intelligenceimage analysismachine visionroadside lidar

Dynamic Feature Sharing for Cooperative Perception From Point Clouds. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)

Zhengwei BaiGuoyuan WuMatthew J. BarthYongkang LiuEmrah Akin SisbotKentaro Oguchi

computer sciencepoint cloudsdynamic featureintelligent transportation systemscooperative perception

Enhanced Object Detection by Integrating Camera Parameters Into Raw Image-Based Faster R-CNN. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)

Chuheng WeiGuoyuan WuMatthew BarthPak Hung ChanValentina DonzellaAnthony Huggett

deep learningcomputer scienceobject detectioncamera parameterspattern recognitionmachine learningcomputer visionconvolutional neural networks

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Matthew Barth

Professor & Assoc Dean for Research and Graduate Education; Esther and Daniel Hays Endowed Chair

University of California, Riverside

Affiliations

CHASS

Society, Environment, and Health Equity

Matthew Barth is currently serving as a Chass Professor & Assoc Dean for Research and Graduate Education; Esther and Daniel Hays Endowed Chair at University of California, Riverside.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Matthew Barth

University of California, Riverside

Professor & Assoc Dean for Research and Graduate Education; Esther and Daniel Hays Endowed Chair

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation. IEEE Transactions on Intelligent Vehicles (2024)

Xishun LiaoZhouqiao ZhaoMatthew J. BarthAmr AbdelraoufRohit GuptaKyungtae HanJiaqi MaGuoyuan Wu

computer sciencedata sciencedriver behaviordata modelinguser behavior modelingbehavioral sciences

Co-Benefits and Tradeoffs Between Safety, Mobility, and Environmental Impacts for Connected and Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems (2024)

Matthew Barth

Computationally Efficient Approach for Evaluating Eco-Approach and Departure for Heavy-Duty Trucks. Transportation Research Record Journal of the Transportation Research Board (2024)

Zhensong WeiPeng HaoAravind KailasPascal AmarKyle PalmeterLennard LevinStephen OrensMatthew BarthKanok Boriboonsomsin

Eco-Approach at an Isolated Actuated Signalized Intersection: Aware of the Passing Time Window. Journal of Cleaner Production (2024)

Jia HuShuoyuan LiHaoran WangZiran WangMatthew J. Barth

environmental engineeringpassing time windowcleaner productionclean technologypublic healthjournalism

Chuheng WeiGuoyuan WuMatthew J. BarthAmr AbdelraoufRohit GuptaKyungtae Han

Pillar Attention Encoder for Adaptive Cooperative Perception. IEEE Internet of Things Journal (2024)

Zhengwei BaiGuoyuan WuMatthew J. BarthHang QiuYongkang LiuEmrah Akin SisbotKentaro Oguchi

computer scienceadaptive cooperative perceptionpillar attention encodermachine learningneurosciencecognitive sciencecomputer visioninternet of thingsattention

Vehicle Miles Traveled and Environmental Impacts From On-Demand Delivery: A Literature Review. International Conference on Transportation and Development 2022 (2024)

Haishan LiuPeng HaoShams TanvirAnurag PandeMatthew Barth

logisticstransportation researchenvironmental sciencevehicle milesenvironmental impactsliterature reviewon-demand delivery

Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside Lidar. IEEE Transactions on Intelligent Transportation Systems (2023)

Zhengwei BaiSaswat P. NayakXuanpeng ZhaoGuoyuan WuMatthew J. BarthXuewei QiYongkang LiuEmrah Akin SisbotKentaro Oguchi

Dynamic Feature Sharing for Cooperative Perception From Point Clouds. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)

Zhengwei BaiGuoyuan WuMatthew J. BarthYongkang LiuEmrah Akin SisbotKentaro Oguchi

computer sciencepoint cloudsdynamic featureintelligent transportation systemscooperative perception

Enhanced Object Detection by Integrating Camera Parameters Into Raw Image-Based Faster R-CNN. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)

Chuheng WeiGuoyuan WuMatthew BarthPak Hung ChanValentina DonzellaAnthony Huggett

deep learningcomputer scienceobject detectioncamera parameterspattern recognitionmachine learningcomputer visionconvolutional neural networks

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University at Buffalo

big data

transportation system management

Stephen Ritchie

Institution

University of California, Irvine

infrastructure engineering

real-time freeway

Daniel Work

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Vanderbilt University

mathematical models

intelligent transportation system

Deb Niemeier

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University of Maryland, College Park

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cyber-physical systems

transportation system management

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systems engineering

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resource allocation

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Wilfred Recker

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