Predicting flight delay based on multiple linear regression

2nd International Conference on Materials Science, Energy Technology and Environmental Engineering

材料科学;能源学;生态环境科学

Ding, Yi^1

School of Computer, Wuhan Vocational College of Software and Engineering, Wuhan

430205, China^1

关键词: Airport authorities;    Delay predictions;    Domestic airports;    Flight delays;    Model approximates;    Multiple linear regressions;    Naive bayes;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/81/1/012198/pdf
DOI  :  10.1088/1755-1315/81/1/012198

来源: IOP

【 摘 要 】

Delay of flight has been regarded as one of the toughest difficulties in aviation control. How to establish an effective model to handle the delay prediction problem is a significant work. To solve the problem that the flight delay is difficult to predict, this study proposes a method to model the arriving flights and a multiple linear regression algorithm to predict delay, comparing with Naive-Bayes and C4.5 approach. Experiments based on a realistic dataset of domestic airports show that the accuracy of the proposed model approximates 80%, which is further improved than the Naive-Bayes and C4.5 approach approaches. The result testing shows that this method is convenient for calculation, and also can predict the flight delays effectively. It can provide decision basis for airport authorities.