Journal of Applied Information Science

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Flight Delays Prediction using Supervised Learning Algorithm


Affiliations
1 Master of Computer Application, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, Tamil Nadu, India
2 Assistant Professor, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, Tamil Nadu, India
     

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The ceaseless development in the interest for air transportation surpasses the limit of existing foundation, generally prompting questionable flight plans, long flight delays and uncertainties in landing/takeoff and taxi times. In light of the multi-target streamlining, a heuristic calculation thinking about vulnerabilities in flight landing/takeoff time is intended to accomplish an improvement in airplane terminal throughput and a decrease in flight delay. We are analyzing the forecasts, timings to make these delays reduce by small amount. With our future proposal, we can make the datasets real-time and reduces flight delay by huge hunk of time. The supervised machine learning algorithm helps us to find the prediction with more accuracy.

Keywords

Flight Delays Prediction, Hadoop, Takeoff Time
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  • Flight Delays Prediction using Supervised Learning Algorithm

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Authors

M. Sharmila
Master of Computer Application, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, Tamil Nadu, India
Sudha Rajesh
Assistant Professor, Department of Computer Application, B. S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, Tamil Nadu, India

Abstract


The ceaseless development in the interest for air transportation surpasses the limit of existing foundation, generally prompting questionable flight plans, long flight delays and uncertainties in landing/takeoff and taxi times. In light of the multi-target streamlining, a heuristic calculation thinking about vulnerabilities in flight landing/takeoff time is intended to accomplish an improvement in airplane terminal throughput and a decrease in flight delay. We are analyzing the forecasts, timings to make these delays reduce by small amount. With our future proposal, we can make the datasets real-time and reduces flight delay by huge hunk of time. The supervised machine learning algorithm helps us to find the prediction with more accuracy.

Keywords


Flight Delays Prediction, Hadoop, Takeoff Time

References