| 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 | 27 | 2021 |
| Vehicle velocity prediction using artificial neural network and effect of real world signals on prediction window AF T. Gaikwad, A. Rabinowitz, F. Motallebiaraghi, T. Bradley, Z. Asher, L ... SAE Technical Paper, 2020 | 25* | 2020 |
| Autonomous eco-driving with traffic light and lead vehicle constraints: An application of best constrained interpolation YH Mahmoud, NE Brown, F Motallebiaraghi, M Koelling, R Meyer, ... IFAC-PapersOnLine 54 (10), 45-50, 2021 | 17 | 2021 |
| 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 | 16 | 2022 |
| 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 | 15 | 2021 |
| Techno-economic analysis of fixed-route autonomous and electric shuttles N Goberville, MM Zoardar, J Rojas, N Brown, F Motallebiaraghi, ... SAE Technical Paper, 2021 | 8 | 2021 |
| Identifying and assessing research gaps for energy efficient control of electrified autonomous vehicle Eco-Driving FM Araghi, A Rabinwoitz, CC Ang, S Sharma, P Kadav, RT Meyer, ... Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | 7 | 2023 |
| Development of Computer Vision Models for Drivable Region Detection in Snow Occluded Lane Lines P Kadav, S Sharma, FM Araghi, ZD Asher Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | 7 | 2023 |
| 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 | 6 | 2023 |
| Tire track identification: Application of U-net deep learning model for drivable region detection in snow occluded conditions P Kadav, G Nicholas, F Motallebiaraghi, A Fong, Z D. Asher 28th Annual ITS World Congress, 2022 | 6* | 2022 |
| Comparison of Optimal Energy Management Strategies Using Dynamic Programming, Model Predictive Control, and Constant Velocity Prediction ZDA AA Patil, F Motallebiaraghi, R Meyer SAE Technical Paper, 2020 | 5* | 2020 |
| Evaluation of Autonomous Vehicle Sensing and Compute Load on a Chassis Dynamometer NE Brown, F Motallebiaraghi, JF Rojas, S Ayantayo, R Meyer, ZD Asher, ... 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| Road Snow Coverage Estimation Using Camera and Weather Infrastructure Sensor Inputs P Kadav, NA Goberville, K Prins, A Siems-Anderson, C Walker, ... SAE Technical Paper, 2023 | 2 | 2023 |
| 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 | 1 | 2021 |
| 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 |
| Energy Efficient Autonomous Vehicle Operation During Various Weather Conditions CL Walker, AR Siems-Anderson, ZD Asher, P Kadav, F Motallebiaraghi, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
| Enabling Energy Efficiency in Connected and Automated Vehicles through Predictive Control Techniques F Motallebiaraghi Western Michigan University, 2023 | | 2023 |
| Effect of engine dynamics on performance of vehicle adaptive cruise control system MH Shojaeefard, FM Araghi, MM Tehrani, JM Rad | | 2014 |
Zachary D AsherAssociate Professor at WMU, Business & Technology Director at Revision Autonomy在 wmich.edu 的电子邮件经过验证
