Artículos con órdenes de acceso público - Jihun HanMás información
No disponibles en ningún lugar: 10
Closed-form solutions for a real-time energy-optimal and collision-free speed planner with limited information
J Han, D Karbowski, N Kim
2020 American Control Conference (ACC), 268-275, 2020
Órdenes: US Department of Energy
Vehicle-in-the-loop workflow for the evaluation of energy-efficient automated driving controls in real vehicles
J Jeong, D Karbowski, N Kim, J Han, K Stutenberg, M Di Russo, J Grave
SAE Technical Paper, 2022
Órdenes: US Department of Energy
Fast analytical solver for fuel-optimal speed trajectory of connected and/or automated vehicles
J Han, J Rios-Torres
IEEE Transactions on Control Systems Technology 31 (6), 2714-2727, 2023
Órdenes: US Department of Energy
A Real-Time Intelligent Speed Optimization Planner using Reinforcement Learning
W Lee, J Han, Y Zhang, D Karbowski, A Rousseau, N Kim
SAE Technical Paper, 2021
Órdenes: US Department of Energy
An X-in-the-Loop (XIL) Testing Framework for Validation of Connected and Autonomous Vehicles
P Gupta, R Wang, T Ard, J Han, D Karbowski, A Vahidi, Y Jia
2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-6, 2023
Órdenes: US Department of Energy
On-track demonstration of automated eco-driving control for an electric vehicle
J Jeong, AB Dudekula, E Kandaswamy, D Karbowski, J Han, J Naber
SAE International Journal of Advances and Current Practices in Mobility 6 …, 2023
Órdenes: US Department of Energy
Fine-tuning a real-time speed planner for eco-driving of connected and automated vehicles
J Han, W Lee, D Karbowski, A Rousseau, N Kim
2020 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2020
Órdenes: US Department of Energy
Analytical Anticipative Optimal Drivability Car-Following Model *
J Han, D Karbowski, A Rousseau
2022 American Control Conference (ACC), 4113-4118, 2022
Órdenes: US Department of Energy
Model Validation of Adaptive Cruise Control in Vehicles Utilizing Real-World Driving Data
Y Zhang, J Han, N Kim, D Karbowski
2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-6, 2023
Órdenes: US Department of Energy
Is it necessary to calibrate all parameters for each driver?
Y Wang, F de Souza, J Han, D Karbowski
IFAC-PapersOnLine 58 (28), 696-701, 2024
Órdenes: US Department of Energy
Disponibles en algún lugar: 12
Leveraging Multiple Connected Traffic Light Signals in an Energy-Efficient Speed Planner
J Han, D Shen, D Karbowski, A Rousseau
IEEE Control Systems Letters 5 (6), 2078-2083, 2020
Órdenes: US Department of Energy
Energy-efficient driving in connected corridors via minimum principle control: Vehicle-in-the-loop experimental verification in mixed fleets
T Ard, L Guo, J Han, Y Jia, A Vahidi, D Karbowski
IEEE Transactions on Intelligent Vehicles 8 (2), 1279-1291, 2023
Órdenes: US Department of Energy
Human Driver Modeling Based on Analytical Optimal Solutions: Stopping Behaviors at the Intersections
J Han, D Karbowski, N Kim, A Rousseau
ASME Letters in Dynamic Systems and Control 1 (1), 2020
Órdenes: US Department of Energy
Energy Impact of Connecting Multiple Signalized Intersections to Energy-Efficient Driving: Simulation and Experimental Results
J Han, D Shen, J Jeong, M Di Russo, N Kim, JJ Grave, D Karbowski, ...
IEEE Control Systems Letters 7, 1297-1302, 2023
Órdenes: US Department of Energy
Receding horizon reference governor for implementable and optimal powertrain-aware eco-driving
D Shen, J Han, J Jeong, D Karbowski, A Rousseau
IFAC-PapersOnLine 53 (2), 13842-13849, 2020
Órdenes: US Department of Energy
Impact of Model Simplification on Optimal Control of Combustion Engine and Electric Vehicles Considering Control Input Constraints
J Han, J Rios-Torres, A Vahidi, A Sciarretta
2018 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2018
Órdenes: US Department of Energy
Data-driven design of model predictive control for powertrain-aware eco-driving considering nonlinearities using koopman analysis
D Shen, J Han, D Karbowski, A Rousseau
IFAC-PapersOnLine 55 (24), 117-122, 2022
Órdenes: US Department of Energy
Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment
J Rios-Torres, Z Khattak, J Han, C Wang, H Lim
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
Órdenes: US Department of Energy
Smart mobility. connected and automated vehicles capstone report
E Rask, J Auld, B Bush, Y Chen, V Freyermuth, D Gohlke, J Gonder, ...
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States); Argonne …, 2020
Órdenes: US Department of Energy
Potential Energy Saving of V2V-Connected Vehicles in Large-Scale Traffic
E Hyeon, J Han, D Shen, D Karbowski, N Kim, A Rousseau
IFAC-PapersOnLine 55 (24), 78-83, 2022
Órdenes: US Department of Energy
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