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Skip to Search Results- 3Ansari, Amir
- 3Shahbakhti, Mahdi
- 2Abediasl, Hamidreza
- 1Hosseini, Vahid
- 1Koch, Charles Robert
- 1Liu, Yang
- 1Abstract
- 1Artificial Neural Networks
- 1Fleet Management
- 1Instantaneous Fuel Consumption
- 1Machine Learning
- 1Random Forest
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2022-06-01
Ansari, Amir, Abediasl, Hamidreza, Shahbakhti, Mahdi
Conference Abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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Estimating Instantaneous Fuel Consumption of Vehicles By Using Machine Learning And Real-Time On-Board Diagnostics (OBD) Data
Download2022-06-01
Ansari, Amir, Abediasl, Hamidreza, Patel, Parth Rakeshkumar, Hosseini, Vahid, Koch, Charles Robert, Shahbakhti, Mahdi
Estimation of instantaneous fuel consumption of fleet vehicles to identify the causes of high fuel consumption and determine the optimum vehicle type for different applications and driving cycles is essential for the design of an intelligent fleet management system. Developing a practical and...
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2022-06-01
Liu, Yang, Ansari, Amir, Shahbakhti, Mahdi
A driving cycle represents the operating conditions of a vehicle as a function of vehicle speed and time. It is used for assessment of vehicle energy consumption, tailpipe emissions, and driving behavior. A driving cycle depends on a vehicle application, geographical regions, and driving zones...