Volume & Issue no: Volume 6, Issue 4, July - August 2017
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Title: |
NTSB Aviation Accidents Analysis Using R |
Author Name: |
Nimeelitha Reddy, M.Padma |
Abstract: |
Abstract
With the ever increasing population, the need of commutation is
also increasing resulting in the loss of valuable resources. For
instance, when a major accident is occurring on a route with
heavy traffic, there will be human loss, public property damage
and so on, causing inconvenience to other commuters.
Research is going on in this area. In this paper, analysis of the
dataset consisting the data of civil aviation accidents and
selected incidents with the US and its territories, possessions
and in international waters with R programming is being done
so that the risk of any further commute incidents or accidents
deprecate andcan provide an opportunity for better decision
making. For instance, determining weather conditions so that
incidents are prevented or when an accident occurs, providing
the medical assistance to the victims. This paper is based on the
data from the National Transportation Safety Board (NTSB). It
involves classifying a set of aircraft accident/incident data
covering the years 1948 to 2017 in the United States and its
territories, possessions and in international waters. The NTSB
provides one of the most extensive online aircraft accident and
incident databases. It includes dates, airport names, Injury
severity, aircraft and engine types, scheduled and nonscheduled
certificated air carrier, and the name of the air
carrier. Filters here enable the business aircraft operators to
identify risks associated with the aircraft they operate, the types
of operations and procedures they typically fly, and the airports
they frequent.
Keywords: Aviation Accidents, R programming, data
analytics, aviation accidents prediction |
Cite this article: |
Nimeelitha Reddy, M.Padma , "
NTSB Aviation Accidents Analysis Using R" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 6, Issue 4, July - August 2017 , pp.
212-217 , ISSN 2278-6856.
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