1.Introduction:
1.1 Introduction to the project
A bird Strike can be defined as a collision between a bird species and the aircraft engine . A bird strike can result in various mishaps such as crash landing of aircraft or an aircraft getting stalled which may lead to some unavoidable circumstantial landing situations. In order to prevent such mishaps from happening in the near future we propose an idea of predicting future bird strikes and analysis of the previous years data of bird strikes. The data of the previous years will be analysed and will help in improving the accuracy of prediction of bird strikes that might occur over the period of next five years. The prediction and analysis would be based on the parameters such as phase of flight, period of the day or altitude. Numerous other parameters like bird species and size of bird species can also be analysed through which there can be a pattern established which will not only help us understand the birds’ migration route but also help prevent any bird strikes in future. The prevention of bird strikes through prior prediction can save a lot of lives that might be at stake. The algorithms that can be used for prediction would be linear regression, random forest algorithm and time series analysis.
1.2 Motivation
Motivation for any project is not just needed by a single team member. It is a joint effort which has to be taken by each member of a project team. Similarly in our project, each of the team members wanted to give something back to the society and we all collectively decided that civil aviation is an industry which is booming a lot in current times, however it also needs advancements in the direction of bird strike prevention as it is type of incident that needs constant attention, since it not only compromises the aircraft safety but also leads to loss of wildlife.
1.3 Problem Definition
The aim of our project is to analyze past years bird strike data with respect to phase of flight, time of day, pilot warning status and various other parameters.The model will make predictions about the occurrence of bird strikes in future years in order to make important decisions to avoid future occurrences of bird strikes.
1.4 Relevance of the project
For the aviation industry, aircraft and passenger safety is of utmost importance. Bird strikes pose a threat to the same. Therefore, a system that predicts the occurrence of these bird strikes and
analyses the parameters that affect their occurrence would be of great assistance to the aviation industry in preventing future bird strikes, thereby increasing flight safety.
1.5 Methodology used:
The main objective of the methodology applied is to analyze the Bird Strike data obtained from Kaggle by a Data Scientist at Travelport Atlanta, Georgia, United States and use it for the betterment of passengers as our vision is to make the Air traffic controllers aware of the advancement in technology which can benefit them in not only increasing the rate of avoiding bird strike occurrences but also give them the opportunity to increase the probity among the community of passengers and airlines . The databases for both the survey results have been provided for further study. It aims to take crucial decisions in the aviation industry related to the flight plans.