原文传递
Development of a Bayesian Belief Network Runway Incursion and Excursion Model
| 题名： | Development of a Bayesian Belief Network Runway Incursion and Excursion Model |
| 作者： | Green, L. L. |
| 关键词： | Belief networks##Runway incursions##Nasa programs##Aircraft safety##Flight safety##Software engineering##Complex systems##Operational hazards##Aircraft accidents##Airports##Layouts##Safety##Runways##Takeoff##Landing##Contamination##Hard landing##Steering##Wind direction## |
| 摘要： | In a previous work, a statistical analysis of runway incursion (RI) event data was conducted to ascertain the relevance of this data to the top ten Technical Challenges (TC) of the National Aeronautics and Space Administration (NASA) Aviation Safety Program (AvSP). The study revealed connections to several of the AvSP top ten TC and identified numerous primary causes and contributing factors of RI events. The statistical analysis served as the basis for developing a system-level Bayesian Belief Network (BBN) model for RI events, also previously reported. Through literature searches and data analysis, this RI event network has now been extended to also model runway excursion (RE) events. These RI and RE event networks have been further modified and vetted by a Subject Matter Expert (SME) panel. The combined system-level BBN model will allow NASA to generically model the causes of RI and RE events and to assess the effectiveness of technology products being developed under NASA funding. These products are intended to reduce the frequency of runway safety incidents/accidents, and to improve runway safety in general. The development and structure of the BBN for both RI and RE events are documented in this paper. |
| 总页数： | 13 |
| 报告类型： | 科技报告 |
相关文献
- Development of a Bayesian Belief Network Runway Incursion and Excursion Model.
- Development and Execution of the RUNSAFE Runway Safety Bayesian Belief Network Model.
- Modeling Increased Complexity and the Reliance on Automation: FLightdeck Automation Problems (FLAP) Model
- Modeling Increased Complexity and the Reliance on Automation: FLightdeck Automation Problems (FLAP) Model.
- PREDICTION OF NETWORK LOADS BASED ON ORIGIN-DESTINATION SYNTHESIS FROM OBSERVED LINK VOLUMES.
- Cockpit Technology for Prevention of General Aviation Runway Incursions
检索历史
应用推荐
