Članki z zahtevami za javni dostop - Peng HaoVeč o tem
Ni na voljo nikjer: 1
Connected Eco-approach and Departure System for Diesel Trucks
P Hao, K Boriboonsomsin, C Wang, G Wu, M Barth
SAE International Journal of Commercial Vehicles 14 (02-14-02-0017), 217-227, 2021
Zahteve: State of Califonia
Na voljo nekje: 55
Eco-approach and departure (EAD) application for actuated signals in real-world traffic
P Hao, G Wu, K Boriboonsomsin, MJ Barth
IEEE Transactions on Intelligent Transportation Systems 20 (1), 30-40, 2018
Zahteve: US Department of Transportation, European Commission
Evaluation of electric vehicle component performance over eco-driving cycles
Z Gao, T LaClair, S Ou, S Huff, G Wu, P Hao, K Boriboonsomsin, M Barth
Energy 172, 823-839, 2019
Zahteve: US Department of Energy
Integrated-connected eco-driving system for phevs with co-optimization of vehicle dynamics and powertrain operations
X Qi, G Wu, P Hao, K Boriboonsomsin, MJ Barth
IEEE Transactions on Intelligent Vehicles 2 (1), 2-13, 2017
Zahteve: US Department of Transportation
Developing a framework of eco-approach and departure application for actuated signal control
P Hao, G Wu, K Boriboonsomsin, MJ Barth
2015 IEEE Intelligent Vehicles Symposium (IV), 796-801, 2015
Zahteve: European Commission
Vehicle energy/emissions estimation based on vehicle trajectory reconstruction using sparse mobile sensor data
X Shan, P Hao, X Chen, K Boriboonsomsin, G Wu, MJ Barth
IEEE transactions on intelligent transportation systems 20 (2), 716-726, 2018
Zahteve: National Natural Science Foundation of China
Modal activity-based stochastic model for estimating vehicle trajectories from sparse mobile sensor data
P Hao, K Boriboonsomsin, G Wu, MJ Barth
IEEE Transactions on Intelligent Transportation Systems 18 (3), 701-711, 2016
Zahteve: US Department of Energy
Connected vehicle-based lane selection assistance application
D Tian, G Wu, P Hao, K Boriboonsomsin, MJ Barth
IEEE Transactions on Intelligent Transportation Systems 20 (7), 2630-2643, 2018
Zahteve: US Department of Transportation
Probabilistic model for estimating vehicle trajectories using sparse mobile sensor data
P Hao, K Boriboonsomsin, G Wu, M Barth
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
Zahteve: US Department of Energy
Early findings from field trials of heavy-duty truck connected eco-driving system
Z Wang, YP Hsu, A Vu, F Caballero, P Hao, G Wu, K Boriboonsomsin, ...
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3037-3042, 2019
Zahteve: State of Califonia
Eco-approach and departure along signalized corridors considering powertrain characteristics
G Wu, P Hao, Z Wang, Y Jiang, K Boriboonsomsin, M Barth, M McConnell, ...
SAE International Journal of Sustainable Transportation, Energy, Environment …, 2021
Zahteve: US Department of Transportation
Deeply integrated vehicle dynamic and powertrain operation for efficient plug-in hybrid electric bus
P Hao, K Boriboonsomsin, G Wu, Z Gao, T Laclair, M Barth
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019
Zahteve: US Department of Energy
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, 2022
Zahteve: US Department of Energy
Game theoretic application to intersection management: A literature review
Z Qin, A Ji, Z Sun, G Wu, P Hao, X Liao
IEEE Transactions on Intelligent Vehicles, 2024
Zahteve: National Natural Science Foundation of China
Connected eco‐driving for electric buses along signalized arterials with bus stops
X Shan, C Wan, P Hao, G Wu, X Zhang
IET Intelligent Transport Systems 17 (3), 579-591, 2023
Zahteve: National Natural Science Foundation of China
Evaluating the environmental impacts of connected and automated vehicles: Potential shortcomings of a binned-based emissions model
D Oswald, G Scora, N Williams, P Hao, M Barth
2019 IEEE intelligent transportation systems conference (ITSC), 3639-3644, 2019
Zahteve: US Department of Energy
Deep learning–based eco-driving system for battery electric vehicles
G Wu, F Ye, P Hao, D Esaid, K Boriboonsomsin, MJ Barth
Zahteve: US Department of Transportation
An advanced simulation framework of an integrated vehicle-powertrain eco-operation system for electric buses
F Ye, P Hao, G Wu, D Esaid, K Boriboonsomsin, MJ Barth
2019 IEEE Intelligent Vehicles Symposium (IV), 2080-2085, 2019
Zahteve: US Department of Energy
Deep learning-based queue-aware eco-approach and departure system for plug-in hybrid electric buses at signalized intersections: A simulation study
F Ye, P Hao, G Wu, D Esaid, K Boriboonsomsin, Z Gao, T Laclair, M Barth
SAE International Journal of Advances and Current Practices in Mobility 2 …, 2020
Zahteve: US Department of Energy
Machine learning-based eco-approach and departure: Real-time trajectory optimization at connected signalized intersections
D Esaid, P Hao, G Wu, F Ye, Z Wei, K Boriboonsomsin, M Barth
SAE International Journal of Sustainable Transportation, Energy, Environment …, 2021
Zahteve: US Department of Energy
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