Breadcrumb

Development and application of a supervised pattern recognition algorithm for identification of fuel-specific emissions profiles

C Stamatis, KC Barsanti

Atmospheric Measurement Techniques 15 (8), 2591-2606


Emissions of Organic Compounds from Western US Wildfires and Their Near Fire Transformations

Y Liang, C Stamatis, EC Fortner, RA Wernis, P Van Rooy, F Majluf, ...

Atmospheric Chemistry and Physics Discussions, 1-32


Secondary organic aerosol formation from camphene oxidation: measurements and modeling

Q Li, J Jiang, IK Afreh, KC Barsanti, DR Cocker III

Atmospheric Chemistry and Physics 22 (5), 3131-3147


Smoke Chemistry

MJ Alvarado, KC Barsanti, SH Chung, DA Jaffe, CT Moore

Wildland Fire Smoke in the United States, 167-198


Traffic, Air Quality, and Environmental Justice in the South Coast Air Basin During California’s COVID-19 Shutdown

S Tanvir, D Ravichandran, C Ivey, M Barth, K Boriboonsomsin

Pandemic in the Metropolis, 131-148


A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation

Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi, Z Huang

arXiv preprint arXiv:2208.10590


Off-Road Construction and Agricultural Equipment Electrification: Review, Challenges, and Opportunities

F Un-Noor, G Wu, H Perugu, S Collier, S Yoon, M Barth, ...

Vehicles 4 (3), 780-807


Impact of Positioning Uncertainty on Connected and Automated Vehicle Applications

N Williams, PB Darian, G Wu, P Closas, M Barth

SAE International Journal of Connected and Automated Vehicles 6 (12-06-02-0010)


Development and Application of Environmentally Friendly Intelligent Transportation System (ECO-ITS) Freight Strategies

K Boriboonsomsin, A Vu, P Hao, Z Wei, M Barth, Y Zhang, F Alasiri, F Vital, ...

METRANS Transportation Center (Calif.)


Infrastructure-based object detection and tracking for cooperative driving automation: A survey

Z Bai, G Wu, X Qi, Y Liu, K Oguchi, MJ Barth

2022 IEEE Intelligent Vehicles Symposium (IV), 1366-1373


Heavy-duty truck routing strategy for reducing community-wide exposure to associated tailpipe emissions

J Luo, C Wang, B Wallerstein, M Barth, K Boriboonsomsin

Transportation Research Part D: Transport and Environment 107, 103289


Personalized car following for autonomous driving with inverse reinforcement learning

Z Zhao, Z Wang, K Han, R Gupta, P Tiwari, G Wu, MJ Barth

2022 International Conference on Robotics and Automation (ICRA), 2891-2897


Online Prediction of Lane Change with a Hierarchical Learning-Based Approach

X Liao, Z Wang, X Zhao, Z Zhao, K Han, P Tiwari, MJ Barth, G Wu

2022 International Conference on Robotics and Automation (ICRA), 948-954


A Complete State Transition-Based Traffic Signal Control Using Deep Reinforcement Learning

S Liu, G Wu, M Barth

2022 IEEE Conference on Technologies for Sustainability (SusTech), 100-107


Co-simulation platform for modeling and evaluating connected and automated vehicles and human behavior in mixed traffic

X Zhao, X Liao, Z Wang, G Wu, M Barth, K Han, P Tiwari

SAE Int. J. of CAV 5 (4)


PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR

Z Bai, G Wu, MJ Barth, Y Liu, A Sisbot, K Oguchi

arXiv preprint arXiv:2203.06319


Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR

Z Bai, SP Nayak, X Zhao, G Wu, MJ Barth, X Qi, Y Liu, K Oguchi

arXiv preprint arXiv:2202.13505


Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud

Z Wei, X Qi, Z Bai, G Wu, S Nayak, P Hao, M Barth, Y Liu, K Oguchi

arXiv preprint arXiv:2203.00138


Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections

Z Bai, P Hao, W Shangguan, B Cai, MJ Barth

IEEE Transactions on Intelligent Transportation Systems


Cyber mobility mirror for enabling cooperative driving automation: A co-simulation platform

Z Bai, G Wu, X Qi, K Oguchi, MJ Barth

arXiv preprint arXiv:2201.09463


Comprehensive powertrain modeling for heavy-duty applications: A study of plug-in hybrid electric bus

Z Gao, TJ LaClair, K Nawaz, G Wu, P Hao, K Boriboonsomsin, M Todd, ...

Energy Conversion and Management 252, 115071

https://www.sciencedirect.com/science/article/pii/S0016236121016513


Understanding elevated real-world NOx emissions: Heavy-duty diesel engine certification testing versus in-use vehicle testing

Y. Jiang, Y. Tan, J. Yang, G. Karavalakis, K. Johnson, S. Yoon, J. Herner, T. Durbin

Fuel | January 2022

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