Complex Vehicle Modeling: A Data Driven Approach

Complex Vehicle Modeling: A Data Driven Approach

Indiana University-Purdue University Indianapolis (IUPUI) === This thesis proposes an artificial neural network (NN) model to predict fuel consumption in heavy vehicles. The model uses predictors derived from vehicle speed, mass, and road grade. These variables are readily available from telematics...

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Bibliographic Details
Main Author: Schoen, Alexander C.
Other Authors: Ben Miled, Zina
Language:en
Published: 2019
Subjects:
Neural Network Prediction
Fuel Consumption Improvement
Ensemble Learning
Refuse Truck
Complex System Modeling
Delivery Truck
Vehicle Routing
SAE J1321
Synthetic Data Generation
Aerodynamic Speed
Characteristic Acceleration
Feature Importance
Influence of Weights
Machine Learning
Point-wise Error
Artificial Neural Network
Online Access:http://hdl.handle.net/1805/21466

Internet

http://hdl.handle.net/1805/21466

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