International Journal of Scientific Engineering and Technology

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A Research on the Advanced Risk Assessment of Runway Safety Areas with Enhanced Algorithm


Affiliations
1 Dept. of Aeronautical Science and Flight Operations, Aerospace University, Korea, Republic of
2 Dept. of Flight Operations, Chodang University, Korea, Republic of
 

Runway accidents are sensitively affected by the amount of precipitation. However, the current Runway Safety Area Risk Assessment algorithm does not take the amount of precipitation. Therefore, this study subdivided level of rainfall and snowfall and derived an advanced algorith which computes more accurate accident probablity data.

Keywords

RSARA, Runway Safety, Safety Management, Risk Analysis Algorithm.
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  • A Research on the Advanced Risk Assessment of Runway Safety Areas with Enhanced Algorithm

Abstract Views: 193  |  PDF Views: 0

Authors

Jehyung Jeon
Dept. of Aeronautical Science and Flight Operations, Aerospace University, Korea, Republic of
Jehwan Song
Dept. of Aeronautical Science and Flight Operations, Aerospace University, Korea, Republic of
Hyunsoo Kim
Dept. of Flight Operations, Chodang University, Korea, Republic of
Byungheum Song
Dept. of Aeronautical Science and Flight Operations, Aerospace University, Korea, Republic of

Abstract


Runway accidents are sensitively affected by the amount of precipitation. However, the current Runway Safety Area Risk Assessment algorithm does not take the amount of precipitation. Therefore, this study subdivided level of rainfall and snowfall and derived an advanced algorith which computes more accurate accident probablity data.

Keywords


RSARA, Runway Safety, Safety Management, Risk Analysis Algorithm.