Abstract

Aviation crashes all over the world have recently been on the high rise, stemming from negligence, mechanical faults, weather, ground control errors, pilot errors, taxing and maintenance crew errors as are probable reasons for such accidents. This case study models the probabilistic risk assessment of runway incursion data endeavored to determine the correlation in between the reported incursions that occurred at Nagpur airport between fiscal years 2005 and 2015 and the meteorological conditions, times of day, and presence of an air traffic control tower of Nagpur Airport. With runway incursions long-plaguing the safety of aviators, their passengers, and aviation refining the body of knowledge underpinning incursions coupled with ongoing prevention efforts aspire to diminish the annual incidence of incursions, increase safety, and save lives. In accordance with this mission, mining the Civil Organization (ICAO), and Federal Aviation Association (FAA) runway incursion databases and analyzing the resulting hours, and at airport with an air traffic control tower.

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