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Aaron Rabinowitz
Aaron Rabinowitz
Post-Doctoral Scholar, Institute of Transportation Studies, University of California Davis
Bestätigte E-Mail-Adresse bei ucdavis.edu
Titel
Zitiert von
Zitiert von
Jahr
Development and evaluation of velocity predictive optimal energy management strategies in intelligent and connected hybrid electric vehicles
A Rabinowitz, FM Araghi, T Gaikwad, ZD Asher, TH Bradley
Energies 14 (18), 5713, 2021
262021
Mobility energy productivity evaluation of prediction-based vehicle powertrain control combined with optimal traffic management
F Motallebiaraghi, K Yao, A Rabinowitz, C Hoehne, V Garikapati, ...
SAE Technical Paper, 2022
152022
High-fidelity modeling of light-duty vehicle emission and fuel economy using deep neural networks
F Motallebiaraghi, A Rabinowitz, S Jathar, A Fong, Z Asher, T Bradley
SAE Technical Paper, 2021
152021
Infrastructure data streams for automotive machine learning algorithms research
AI Rabinowitz, T Gaikwad, S White, T Bradley, Z Asher
SAE Technical Paper, 2020
62020
Real-time implementation comparison of urban eco-driving controls
AI Rabinowitz, CC Ang, YH Mahmoud, FM Araghi, RT Meyer, ...
IEEE Transactions on Control Systems Technology, 2023
52023
Assessment of factors in the reduction of BEV operational inconvenience
AI Rabinowitz, JG Smart, TC Coburn, TH Bradley
IEEE Access 11, 30486-30497, 2023
42023
Autonomous eco-driving evaluation of an electric vehicle on a chassis dynamometer
F Motallebiaraghi, A Rabinowitz, JF Rojas, P Kadav, DA Miller, T Bradley, ...
SAE Technical Paper, 2023
32023
Synchronous and Open, Real World, Vehicle, ADAS, and Infrastructure Data Streams for Automotive Machine Learning Algorithms Research
AI Rabinowitz, T Gaikwad, S White, T Bradley, Z Asher
SAE Technical Paper, 2020
22020
A Geo‐Spatial Method for Calculating BEV Charging Inconvenience using Publicly Available Data
AI Rabinowitz, JG Smart, TC Coburn, TH Bradley
INSIGHT 27 (1), 27-38, 2024
12024
Development and evaluation of velocity predictive optimal energy management strategies in intelligent and connected hybrid electric vehicles. Energies 2021; 14: 5713
A Rabinowitz, FM Araghi, T Gaikwad, ZD Asher, TH Bradley
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021
12021
Quantifying the Costs of Charger Availability Uncertainty for Residents of Multi-Unit Dwellings
A Rabinowitz, G Tal, T Bradley
SAE Technical Paper, 2024
2024
Engineering Requirements that Address Real World Hazards from Using High-Definition Maps, GNSS, and Weather Sensors in Autonomous Vehicles
A Masterson, P Patil, N Brown, Z Asher, JF Rojas, A Siems-Anderson, ...
SAE Technical Paper, 2024
2024
An Ultra-Light Heuristic Algorithm for Autonomous Optimal Eco-Driving
AI Rabinowitz, F Motallebiaraghi, R Meyer, Z Asher, I Kolmanovsky, ...
SAE Technical Paper, 2023
2023
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems: Predictive Control During Acceleration Events to Improve Fuel Economy
S White, A Rabinowitz, CC Ang, D Trinko, T Bradley
Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023
2023
Systems and Operational Modeling and Simulation to Address Research Gaps in Transportation Electrification
AI Rabinowitz
Colorado State University, 2023
2023
Towards Enabling Predictive Optimal Energy Management Systems for Hybrid Electric Vehicles with Real World Considerations
A Rabinowitz
Colorado State University, 2020
2020
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