Is this project an undergraduate, graduate, or faculty project?
Graduate
Project Type
group
Campus
Daytona Beach
Authors' Class Standing
Shlok Misra, Graduate Student Ila Toppo, Graduate Student
Lead Presenter's Name
Shlok Misra
Faculty Mentor Name
Dr. Flavio A.C Mendonca
Abstract
Wildlife strikes pose a major economic and threat to aviation safety all around the world. From 1990 through 2018 there were 209,950 wildlife strikes to aviation in the U.S. Approximately eight percent of those strikes caused damage to aircraft. A primary method to understand the magnitude of this economic and safety hazard is through data collection and analyses. Data mining methods can be used to predict the likelihood of events and significant factors of contribution based on historical datasets. Researchers will collect and analyze data (XXXX-2020) from the National Wildlife Strike Database. The purpose of this study is twofold:
1. To identify the potential predictors of damaging wildlife strikes to aviation in the U.S.;
2. To identify the potential predictors of substantial and minor damaging wildlife strikes to aviation in the U.S.
Findings of the current study can help determine the nature and magnitude of this problem as well as provide the ground work for the development and implementation of integrated safety management and research efforts to improve aviation safety.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Data Mining Techniques to Predict Aircraft Damage Levels for Wildstrikes in United States
Wildlife strikes pose a major economic and threat to aviation safety all around the world. From 1990 through 2018 there were 209,950 wildlife strikes to aviation in the U.S. Approximately eight percent of those strikes caused damage to aircraft. A primary method to understand the magnitude of this economic and safety hazard is through data collection and analyses. Data mining methods can be used to predict the likelihood of events and significant factors of contribution based on historical datasets. Researchers will collect and analyze data (XXXX-2020) from the National Wildlife Strike Database. The purpose of this study is twofold:
1. To identify the potential predictors of damaging wildlife strikes to aviation in the U.S.;
2. To identify the potential predictors of substantial and minor damaging wildlife strikes to aviation in the U.S.
Findings of the current study can help determine the nature and magnitude of this problem as well as provide the ground work for the development and implementation of integrated safety management and research efforts to improve aviation safety.