A presentation on the collaborative government and industry initiative on data sharing and analysis to proactively discover safety concerns before accidents or incidents occur, leading to timely mitigation and prevention

Stolzer, Alan J.

English

Embry-Riddle Aeronautical University

Publications 8-18-2009 Aviation Safety Information Analysis and Sharing -- General Aviation (ASIAS -- GA) Alan J. Stolzer Embry-Riddle Aeronautical University, stolzera@erau.edu Follow this and additional works at: https://commons.erau.edu/publication  Part of the Aviation Safety and Security Commons Scholarly Commons Citation Stolzer, A. J. (2009). Aviation Safety Information Analysis and Sharing -- General Aviation (ASIAS -- GA). , (). Retrieved from https://commons.erau.edu/publication/121 This Presentation without Video is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Publications by an authorized administrator of Scholarly Commons. For more information, please contact commons@erau.edu. General Aviation Flight Data Monitoring Conference Alan J. Stolzer, Ph.D. Principal Investigators Leonard Kirk  Gary Ullrich  Massoud Bazargan - Wx Dave Esser - FDM Alan Stolzer Many researchers from these universities and others as the project continues to develop A collaborative government and industry initiative on data sharing & analysis to proactively discover  safety concerns before accidents or incidents occur, leading to timely mitigation and prevention. Content Source:  MITRE What is ASIAS? Reasons to Include GA  Comparison of Accident Rates Per 100,000 Flight Hours Among Airlines (14 CFR 121, Scheduled), Air Taxi (14 CFR 135, Scheduled), and  General Aviation in the U.S. from 1987 to 2006  More Reasons to Include GA    GA operations affect the          traveling public   GA is very diverse – its safety          risks need to be better          understood   Airline safety studies often            involve GA operations – TCAS      events, runway incursions, etc.    Some GA operations have high visibility coupled with poor safety records, such as rotary wing medivac Still More Reasons…   GA is a major part of the aviation   industry  Over 200K a/c and nearly 30M   flight hours per year   VLJs add new complexities and risk    UAVs add new complexities and risk Just as in commercial operations we need  safety information for GA in order to  support the SMS program Research Objective     Under the umbrella of Safety Management Systems, investigate the development of an ASIAS system for GA Major Activities Initial Planning  Coordination Meeting Summary of SMS  Related to GA Summary of GA Data Sources & Data Collection Tools Framework for Non-Punitive ASIAS-GA governance Framework for Data Collection, Analysis, Sharing  ASIAS-GA Safety Risk Identification Task List Activities Date SMS background and history September 2009 Summary of SMS resources (sources) (core docs) Major SMS Efforts in Aviation – identify and describe Major Efforts in Alaska – identify and describe Major Efforts in other industries – identify and describe Synthesize / Summarize Analysis of ASIAS Roadmap Summary of SMS Related to GA Activities Date Identify and describe current data sources and data collection tools that could be made available to ASIAS September 2009 Identify and describe potential data sources and data collection tools that could be made available to ASIAS Identify the potential benefit of using each data source Describe how the data source can be fused with other sources to provide a system safety assessment for the GA community Relate data sources and tools to various GA operations identified in this task Summary of GA Data Sources  & Data Collection Tools Varia   Forming a working group for this project, to include the PI’s, researchers, MITRE ASIAS researchers, GAMA, AOPA – regular conf calls   Established a project website (UND) for threaded discussions and exchange documents   References/resources are being logged into RefWorks for greater utility Significant Challenges   Data  We need risk information – if not from FDM or ASAP, where will it come from?    The high-degree of segregation of GA may compel us to focus on select sectors first  Data Management Plan  Data set integration  Data standardization  Data quality  Taxonomy Significant Challenges   Governance  Representation in studies  Subject matter expertise  Oversee studies (to ensure de-identification) Brief SMS Update   ANPRM released on July 23, 2009     Provides definition of SMS, 4-pillars, reference to guidance material (i.e., AC 120-92, Order 8000.367)   Presents a series of survey questions   Comment period ends October 21, 2009 

Aviation Safety Information Analysis and Sharing -- General Aviation (ASIAS -- GA)

https://commons.erau.edu/cgi/viewcontent.cgi?article=1129&amp;context=publication

Aviation Safety Information Analysis and Sharing -- General Aviation (ASIAS -- GA)

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