2022
47. Model in the loop control strategy evaluation procedure for an autonomous parking lot sweeper
Johan Fanas Rojas, Yifan Wei, Zachary Asher, Yong Sun
2022 SAE World Congress Experience
46. Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines
Nick Goberville, Parth Kadav, Zachary Asher
2022 SAE World Congress Experience
Technical Paper
45. High-Fidelity Heavy-Duty Vehicle Modeling Using Sparse Telematics Data
Kyle Carow, Nathaniel Cantwell, Andrej Ivanco, Jacob Holden, Chad Baker, Eric Miller, Zachary Asher
2022 SAE World Congress Experience
44. Higher Accuracy and Lower Computational Perception Environment Based Upon a Real-time Dynamic Region of Interest
Nicolas Brown, Johan Fanas Rojas, Hamzeh Alzu’bi, Qusay Alrousan, Richard Meyer, Zachary Asher
2022 SAE World Congress Experience
43. Performance Evaluation of an Autonomous Vehicle Using Resilience Engineering
Johan Fanas Rojas, Nicolas Brown, Jeff Rupp,Thomas Bradley, Zachary Asher
2022 SAE World Congress Experience
42. Mobility Energy Productivity Evaluation of Prediction-Based Vehicle Powertrain Control Combined with Optimal Traffic Management
Farhang Motallebiaraghi, Kaisen Yao, Aaron Rabinowitz, Christopher Hoehne, Venu Garikapati, Jacob Holden, Eric Wood, Suren Chen, Zachary Asher, Thomas Bradley
2022 SAE World Congress Experience
2021
41. Autonomous Eco-Driving with Traffic Light and Lead Vehicle Constraints: An Application of Best Constrained Interpolation
Yara Hazem Mahmoud, Nicholas E. Brown, Farhang Motallebi Araghi, Melinda Koelling, Richard Meyer Zachary Asher, Assen Dontchev, Ilya Kolmanovskey
6th IFAC Conference on Engine Powertrain Control, Simulation and Modeling, E-COSM 2021
40. Development and Evaluation of Velocity Predictive Optimal Energy Management Strategies in Intelligent and Connected Hybrid Electric Vehicles
Aaron Rabinowitz, Farhang Motallebi Araghi, Tushar Gaikwad, Zachary Asher, Thomas H. Bradley
Energies 2021
39. Techno-Economic Analysis of Fixed-Route Autonomous and Electric Shuttles
Nick Goberville, Md Marsad Zoardar, Johan Rojas, Nicolas Brown, Farhang Motallebiaraghi, Anthony Navarro, Zachary Asher
2021 SAE World Congress Experience
38. No Cost Autonomous Vehicle Advancements in CARLA through ROS
Gabriel Prescinotti Vivan, Nick Goberville, Zachary Asher, Nicholas Brown, Johan Rojas
2021 SAE World Congress Experience
37. High-Fidelity Modeling of Light-Duty Vehicle Emission and Fuel Economy Using Deep Neural Networks
Farhang Motallebiaraghi, Aaron Rabinowitz, Jacob Holden, Alvis Fong, Shantanu Jathar, Thomas Bradley, Zachary Asher
2021 SAE World Congress Experience
36. Systems and methods for determining engine start time during predicted acceleration events
Joshua Payne, Heraldo Stefanon, Benjamin Geller, Takanori Aoki, Thomas Bradley, Zachary Asher, David Trinko
35. Biomass Feedstock Transport Using Fuel Cell and Battery Electric Trucks Improves Lifecycle Metrics of Biofuel Sustainability and Economy
Nawa Raj Baral, Zachary D.Asher, David Trinko, Evan Sproul, Carlos Quiroz-Arita, Jason C. Quinn, Thomas H. Bradley
Journal of Cleaner Production
2020
34. Vehicle Performance Analysis of an Autonomous Electric Shuttle Modified for Wheelchair Accessibility
33. Optimized System for On-Route Charging of Battery Electric Buses and High-Fidelity Modeling and Simulation of In-Motion Wireless Power Transfer
MS Thesis
Yogesh Jagdale
Western Michigan University
Western Michigan University
32. Real-Time Implementation of Optimal Energy Management in Hybrid Electric Vehicles: Globally Optimal Control of Acceleration Events
Zachary Asher, David Trinko, Joshua Payne, Benjamin Geller, Thomas Bradley
Journal of Dynamic Systems, Measurement, and Control
31. Analysis of LiDAR and Camera Data in Real-World Weather Conditions for Autonomous Vehicle Operations
Nick Goberville, Mohammad El-Yabroudi, Mark Omwanas, Johan Rojas, Rick Meyer, Zachary Asher, and Ikhlas Abdel-Qader
2020 SAE World Congress Experience
30. Observer for Faulty Perception Correction in Autonomous Vehicles
Mark Omwansa, Rick Meyer, Zachary Asher, Nick Goberville
2020 SAE World Congress Experience
29. Vehicle Velocity Prediction Using Artificial Neural Network and Effect of Real World Signals on Prediction Window
Tushar Gaikwad, Aaron Rabinowitz, Farhang Motallebiaraghi, Thomas Bradley, Zachary Asher, Alvis Fong, Rick Meyer
2020 SAE World Congress Experience
Video of Vehicle Velocity Prediction Using Artificial Neural Networks
28. Synchronous and Open, Real World, Vehicle, ADAS, and Infrastructure Data Streams for Automotive Machine Learning Algorithms Research
Aaron I. Rabinowitz, Tushar Gaikwad, Samantha White, Thomas Bradley, Zachary Asher
2020 SAE World Congress Experience
27. Using Reinforcement Learning and Simulation to Develop Autonomous Vehicle Control Strategies
Anthony Navarro, Sahika Genc, Premkumar Rangarajan, Rana Khalil, Nick Goberville, Johan Fanas Rojas, Zachary Asher
2020 SAE World Congress Experience
2019
26. Vehicle Velocity Prediction Using Artificial Neural Networks and Effect of Real-World Signals on Prediction Window
MS Thesis
Tushar D. Gaikwad
Western Michigan University
Western Michigan University
25. Comparison of Optimal Energy Management Strategies Using Dynamic Programming, Model Predictive Control, and Constant Velocity Prediction
MS Thesis
Amol A. Patil
Western Michigan University
Amol A. Patil
Western Michigan University
24. Identification and Review of the Research Gaps Preventing a Realization of Optimal Energy Management Strategies in Vehicles
Zachary D. Asher, Amol A. Patil, Andrew A. Frank, Thomas H. Bradley
SAE International Journal of Alternative Powertrains
23. Improving the Range of Electric Vehicles
Parth Kadav, Zachary D. Asher
2019 Electric Vehicles International Conference
22. Vehicle Velocity Prediction and Energy Management Strategy Part 2: Integration of Machine Learning Vehicle Velocity Prediction with Optimal Energy Management to Improve Fuel Economy
Tushar D Gaikwad, Zachary D. Asher, Kuan Liu, Mike Huang, Ilya Kolmanovsky
2019 SAE World Congress Experience
21. Vehicle Velocity Prediction and Energy Management Strategy Part 1: Deterministic and Stochastic Vehicle Velocity Prediction Using Machine Learning
Kuan Liu, Zachary D. Asher, Xun Gong, Mike Huang, Ilya Kolmanovsky
2019 SAE World Congress Experience
2018
20. Enabling Predictive Energy Management in Vehicles
PhD Dissertation
Zachary D. Asher
Colorado State University
Zachary D. Asher
Colorado State University
19. Economic Viability and Environmental Impact of In-Motion Wireless Power Transfer
Braden J. Limb, Zachary D. Asher, Thomas H. Bradley, Evan Sproul, David A. Trinko, Benjamin Crabb, Regan Zane, Jason C. Quinn
18. 2018 Astrodynamics Specialist Conference
Zachary D. Asher, Steven Tragesser, Christian Kneubel, Jennifer Hudson, Thomas H. Bradley, Ilya Kolmanovsky
2018 Astrodynamics Specialist Conference
17. 2018 ASEE Summer Conference
Zachary D. Asher, Nicole Ramo, and Thomas H. Bradley
2018 American Society for Engineering Education (ASEE) Summer Conference
16. Electrification of Class 8 Trucking: Economic Analysis of In-Motion Wireless Power Transfer Compared to Long-Range Batteries
Evan Sproul, Zachary D. Asher, David A. Trinko, Thomas H. Bradley, and Jason C. Quinn
2018 IEEE Transportation Electrification Conference
15. An Adaptive Green Zone Strategy for Hybrid Electric Vehicle Control
David A. Trinko, Eric A. Wendt, Zachary D. Asher, Marco Peyfuss, John Volckens, Jason C. Quinn, and Thomas H. Bradley
2018 IEEE Transportation Electrification Conference
14. Enabling Prediction for Optimal Fuel Economy Vehicle Control
Zachary D. Asher, Jordan Tunnel, David Baker, Robert Fitzgerald, Farnoush Banaei-Kashani, Sudeep Pasricha, and Thomas Bradley
2018 SAE World Congress and Exhibition
13. Economic and Efficient Hybrid Electric Vehicle Fuel Economy and Emissions Modeling Using an Artificial Neural Network
Zachary D. Asher, Abril Galang, Thomas H. Bradley, and Shantanu Jathar
2018 SAE World Congress and Exhibition
12. Towards Improving Vehicle Fuel Economy with ADAS
Jordan Tunnel, Zachary D. Asher, Sudeep Pasricha, and Thomas H. Bradley
2018 SAE World Congress and Exhibition
11. Application of Pre-Computed Acceleration Event Control to Improve Fuel Economy in Hybrid Electric Vehicles
David Trinko, Zachary D. Asher, and Thomas H. Bradley
2018 SAE World Congress and Exhibition
10. Vehicle Electrification in Chile: A Life Cycle Assessment and Techno-Economic Analysis Using Data Generated by Autonomie
Vehicle Modeling Software
Carlos Quiroz-Arita, Zachary D. Asher, Nawa Baral, and Thomas H. Bradley
2018 SAE World Congress and Exhibition
9. V2V Communication Based Real-World Velocity Predictions for Improved HEV Fuel Economy
David A. Baker, Zachary D. Asher, and Thomas H. Bradley
2018 SAE World Congress and Exhibition
8. Development of an Autonomous Vehicle Control Strategy Using a Single Camera and Deep Neural Networks
Anthony Navarro, Jendrik Joerdening, Rana Khalil, Aaron Brown, and Zachary D. Asher
2018 SAE World Congress and Exhibition
7. Increasing the Fuel Economy of Connected and Autonomous Lithium Ion Electrified Vehicles
Zachary D. Asher, David A. Trinko, and Thomas H. Bradley.
Behaviour of Lithium-ion Batteries in Electric Vehicles
2017
6. Prediction Error Applied to Vehicle Optimal Fuel Economy
Zachary D. Asher, David A. Baker, and Thomas H. Bradley
IEEE Transactions on Control Systems Technology
5. Investigation of Vehicle Speed Prediction from Neural Network Fit of Real World Driving Data for Improved Engine On/Off
Control of the EcoCAR3 Hybrid Camaro
David A. Baker, Zachary D. Asher, and Thomas H. Bradley
2017 SAE World Congress and Exhibition
4. The Importance of HEV Fuel Economy and Two Research Gaps Preventing Real World Implementation of Optimal Energy Management
Zachary D. Asher, Van Wifvat, Anthony Navarro, Scott Samuelsen, and Thomas Bradley.
2017 SAE World Congress and Exhibition
2016
3. The Effect of Hill Planning and Route Type Identification Prediction Signal Quality on Hybrid Vehicle Fuel Economy
Zachary D. Asher, Thomas Cummings, and Thomas H. Bradley
2016 SAE World Congress and Exhibition
2015
2. The Effect of Trip Preview Prediction Signal Quality on Hybrid Vehicle Fuel Economy
Thomas Cummings, Thomas H. Bradley, and Zachary D. Asher
2015 Engine and Powertrain Control, Simulation and Modeling (E'COSM)