2011Procedia EngineeringOpen access

A Method of Constructing the Fuel Efficiency Model Based on Quadratic Polynomial Regression

Tian Qian-qian, Jingjie Chen, Dong Jian-kang

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Abstract

This paper deeply analyzes the data which is closely related to the fuel efficiency in the production database of the airline transportation. It verifies that quadratic polynomial regression model is the best fitting fuel efficiency model after many experiments. It constructs the quadratic polynomial regression model of the fuel efficiency and derives the model's expression using the least square method. And, an example shows the rationality of the model, and better results of testing. Above all, it obtains the influences’ degree of energy-saving and emission-reducing measures in civil aviation to the fuel efficiency, and provides a good theoretical support for further optimization of energy-saving and emission-reducing measures.

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What this paper is about

This paper deeply analyzes the data which is closely related to the fuel efficiency in the production database of the airline transportation. It verifies that quadratic polynomial regression model is the best fitting fuel efficiency model after many experiments. It constructs the quadratic polynomial regression model of the fuel efficiency and derives the model's expression using the least square method. And, an example shows the rationality of the model, and better results of testing. Above all, it obtains the influences’ degree of energy-saving and emission-reducing measures in civil aviation to the fuel efficiency, and provides a good theoretical support for further optimization of energy-saving and emission-reducing measures.

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Available abstract

This paper deeply analyzes the data which is closely related to the fuel efficiency in the production database of the airline transportation. It verifies that quadratic polynomial regression model is the best fitting fuel efficiency model after many experiments. It constructs the quadratic polynomial regression model of the fuel efficiency and derives the model's expression using the least square method. And, an example shows the rationality of the model, and better results of testing. Above all, it obtains the influences’ degree of energy-saving and emission-reducing measures in civil aviation to the fuel efficiency, and provides a good theoretical support for further optimization of energy-saving and emission-reducing measures.

Key concepts: Polynomial regression, Quadratic equation, Polynomial and rational function modeling, Regression analysis, Civil aviation, Polynomial, Quadratic programming, Quadratic function

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