Safe Travels - Leaving No One behind
Complexities of Data Exchange in the World of Open DataKim Miller – International Aviation Safety Foundation
The availability of what may be considered to be open aviation data can bring along with it possible complexities at several different levels. Such complexities can be frequently unknown, misunderstood or purposely ignored in the design and implementation of a data system. Given the unique nature of aviation data, the session will use the general components of open data to discuss complexities within each element. Consideration of these conditions during preliminary planning and implementation could assist in the establishment of an efficient and effective aviation data resource.
Complexities of Data Exchange in the World of Open Aviation Data
Mr. Kim Miller has over 45 years of aviation industry experience as a licensed aircraft maintenance technician, and over 40 years as a licensed pilot. He has utilized information technology in support of aviation since 1982. From 1973 until 1989, Mr. Miller was a licensed professional in the aviation maintenance industry working on both small and large aircraft. Joining the Federal Aviation Administration (FAA) in 1989, Mr. Miller was employed for more than 28 years as an Airworthiness Aviation Safety Inspector for the FAA’s Flight Standards Service, with the last 22 years of service dealing specifically with international aviation safety. Currently, he is President and Chief Executive Officer of the International Aviation Safety Foundation, which provides expertise in regards to issues related to aviation safety in keeping with International Civil Aviation Organization standards and recommended practices. During his tenure at the FAA, Mr. Miller participated on the initial Flight Standards national automation workgroup assisting in the development of the original data tools and distribution of equipment for Flight Standards personnel, implemented several data projects including: an interactive work planning program for FAA inspectors, a program that allowed the sharing of specific aviation safety data in a common database over an internet connection between several participating aviation regulatory authorities worldwide, and a risk-based decision tool used to forecast the annual work priority of critical FAA international regulatory activity.
Operational and Safety Information Sharing for Unmanned Aircraft SystemsLennaert Speijker – NLR, NetherlandsA Risk Observatory (RO), developed in Future Sky Safety (FSS), provides the means to quantify indicators to measure actual progress with respect to operational safety issues. Tools, metrics, indicators and methods are developed to assess and manage risks. The risk observatory helps to acquire, fuse and structure safety data and translate it to actionable safety information. The proposed solution is presented, including results of a validation/use case addressing Unmanned Aircraft Systems (UAS). The presentation addresses suitability of data sets, incentives for sharing data, safety performance indicators, data visualisation, and methods and tools used. Needs, challenges, and concerns in the UAS domain are identified, and ways of resolving them proposed. A new approach to collection and analysis of UAS operational and safety data is needed. Attention is given to safety management and oversight. FSS is looking for ways to align with iSTARS and SIMS.
Operational and Safety Information Sharing for the UAS
Sonu Goel – OST Global, USA
Data has always had a strategic value. But the magnitude of data and ability provided by the latest innovative technologies to extract information has made it one of the biggest assets. By establishing data governance at the right level to manage all aspects of data, organizations can build trust and enhance data sharing. By adopting predictive analytics, machine learning and artificial intelligence, ICAO's iSTARS can provide significant insights into different aspects of aviation like efficiency and safety. This presentation discusses industry best practices for data governance and innovative approaches for analytics and visualization to facilitate fact-based decision making.
Lean Data Governance, Analytics and Visualisation
Hyuntae Jung – International Air Transport Association (IATA)
Modern safety management is evolving towards the predictive era; to achieve this transition, data-driven decision making needs to be implemented. To enable decision makers to make data-driven safety decisions, the result of a safety analysis should examine, evaluate and visualize safety data and information in order to discover useful information, suggest conclusions and support data-driven decision making. To avoid making wrong decisions – which may result in wasted money, labour and resources – it is required to identify the challenges in the analysis process and tackle them with proper management. With such motivation, this presentation illustrates the technical challenges and ways to analyze safety data effectively and productively.
Technical Challenges in Effective Safety Analysis
Ensuring 100% Data Awareness
Digital Integration: The Key to Future-ProofingDiego Magrini and Marco di Perna – Integrated OPS Solutions, UKAviation tends to be very standardized: in formats, language, procedures and a lot more. These standards make life easier working globally while guaranteeing safety standards. However, in the field of digital operational services for aviation, the road is still marked by aging technologies that are struggling to evolve. This presentation explores possible paths for the future of data exchange for aviation in the digital era, starting from our experience in the business aviation industry.
Digital Integration - The key to Future Proofing
Diego Magrini is the co-founder of Integrated OPS Solutions. Ltd.He is a technology dreamer and passionate aviation expert.
If you see him quiet and assorted he may be thinking on how to solve the next generation's travel problems!
Marco di Perna is the co-founder of Integrated OPS Solutions. Ltd.He is an incurable romantic.
He firmly believes that nothing is unachievable. Technology, knowledge and creativity are the key elements to shape the future.
Connect, Monitor, and Share: From Safety Data to Safety Intelligence, using the ICAO Safety Information Monitoring System (SIMS)
Ruviana Zimmerman –
Integrated Aviation Analysis (IAA) Section, ICAO
Automatic Dependent Surveillance-Broadcast (ADS-B) determines the position of aircrafts and allows them to be tracked. In addition to tracking or surveillance, data recorded from ADS-B can be used for safety data analysis. The ICAO Safety Information Monitoring System (SIMS) uses ADS-B and data provided by ICAO Member States to generate indicators for safety performance monitoring. The presentation addresses how States can connect to SIMS, how the system processes data into information, real world examples of success stories using SIMS and insights of how ADS-B data is being used in SIMS to build safety intelligence and facilitate data-driven decision making.
Presentation: Connect, Monitor and Share - From Data to Safety Intelligence
e-Licensing and e-Examinations, Regulatory Tools for National Aviation Authority (NAA) Oversight
Matthew Margesson – UK Civil Aviation Authority
Presentation: E-Licensing and E-Examinations Regulatory Tools for NAA Oversight
11:00 – 11:30
A New Jump into Safety Risk Analysis Ways and Tools
Paul-Emmanuel Thurat – Direction Générale de l'Aviation Civile (DGAC), France
French CAA has recently launched a new approach to deal with safety data. Having to deal with almost 70,000 safety report per year, thanks to modern data analysis and visualisation tools, we are better able to understand and deal with the safety information deeply hidden into reports. Furthermore, the proliferation of ADS-B data providers convinced us to launch an exploratory work in order to determine how this promising data would help us on air transport risk evaluation.
Presentation: Data-Guided Risk Evaluation Process
Paul-Emmanuel Thurat is an engineer working for the French civil aviation authority. After 8 years as an ATM and airport traffic flow management optimisation expert, he is now working for the civil aviation safety directorate since 2017 as head of the commercial air transport division, part of the French safety management coordination office, in charge of managing the French state safety program.
Javier Puente – ICAO South American (SAM) Regional Office
This presentation discusses the benefits of implementing risk-based surveillance versus more rigid traditional models. It will explain the process of developing the concept and its evolution until it became an iSTARS app. The presentation includes practical examples of the benefits of using the app and how it has helped States to make more efficient use of their resources.
Presentation: Risk-Based Surveillance iSTARS App
Compliance-Based Oversight and Risk and Performance-Based Oversight in an Integrated Safety Oversight System
Georges Schmitz – EMPIC, Germany
EMPIC is a standard software solution for aviation regulators. As an integrated system, the product collects all necessary data to handle aircraft registration, personnel licensing, organisation approvals and surveillance obligations. We can benefit from the large repository of "production" data and the compliance history stored in our database to derive risk profiles per service provider (ORP) as well as performance indicators on a national scale. All stakeholders involved in safety oversight – from the Director General to the inspector – should have access to the big picture of the national aviation system supported by this data. EMPIC believes this is best achieved by avoiding media discontinuity and giving access to built-in dashboards.
Presentation: Compliance-Based Oversight and Risk and Performance-Based Oversight in an Integrated Safety Oversight System
Presentation: Aviation System Risk Profiles
Enhancing Data Transparency and Operational Efficiency in China
Huijuan Yang – VariFlight, ChinaThis presentation focuses on the Airport Collaborative Decision Making (A-CDM) system and the way it is used to enhance operational efficiency and airport safety in China.
Ms. Huijuan Yang has been serving as a consultant in VariFlight since 2013. Her work focuses on air transport management, passenger behavior analysis, as well as flight on time performance.
Smart Airports: Intelligent Aviation Infrastructure by Leveraging Artificial Intelligence and Continuous Machine Learning for Safety, Security and Operational Efficiency
Vijay Narula – OST Global, USA
Presentation: Smart Airports
Application of Deep-Learning and Natural Language Processing in NOTAMs
Marco Merens – Integrated Aviation Analysis (IAA) Section, ICAO
There are 35,000 NOTAMs in the aviation system at any moment in time. This number is growing by 5% annually. Only a small part of those messages contain crucial operational safety information. This presentation shows an example of how artificial Intelligence can help identify those messages.
Marco Merens is the chief of ICAO’s Integrated Aviation Analysis section of the Air Navigation Bureau. He started his career as an aeronautical engineer at Airbus in Toulouse working on the design of avionic and flight control systems for the A340 and A380. He then returned to his home country of Luxembourg to join the CAA where he held various positions from head of the airworthiness department to the manager of the CAA's occurrence reporting and analysis system, before joining ICAO in 2009 as safety data analysis officer. Creator of the ICAO integrated Safety Trend Analysis System (iSTARS), he became chief of the section in 2015.
Analysing Incidents using Data Enrichment and Machine Learning
Gerard van Es – NLR, Netherlands
The presentation discusses ways to enrich incident data as recorded in a mandatory occurrence state program. Often such reported incidents are missing certain data fields like weather data, used runway, origin, flight duration etc. This limits the potential risk information that can be extracted from such data. The benefits of data enrichment are shown through illustrative examples. Finally, the use of machine learning techniques using these enriched data sets is discussed.
Presentation: Analyzing Incidents Using Data Enrichment and Machine Learning
Safety authorities and operators often receive dozens of occurrences reports each day that must be reviewed and evaluated for further investigation. Investigations of these occurrences generate large amounts of structured and unstructured data that must be reviewed and validated to evaluate safety concerns. Machine learning classification tools can aid the triage of incoming reports, identify possible developing trends and improve the quality control of large occurrence databases. This presentation demonstrates the application of a natural language processing model to auto-classify safety occurrence reports and identify recent similar occurrences involving the same aircraft type. The approach employs open source programming tools, so that source code and trained models can be readily shared or adapted.
Presentation: Applying Natural Language Processing Tools to Occurrence Reports
Loren Groff is the US National Transportation Safety Board Chief Data Scientist in the NTSB Office of Research and Engineering. He is the agency’s senior technical expert regarding data science methods and techniques applied to transportation safety data systems and analyses supporting the agency’s accident investigations and safety research. He conducts safety research, assists accident investigations, and regularly represents the NTSB and the United States in industry and government initiatives and working groups involving safety data. Loren has been employed at the National Transportation Safety Board since 2002, and prior to joining the NTSB he held aviation positions as a flight instructor and regional airline pilot. Dr. Groff received his PhD in Human Factors Psychology from Wichita State University.
PANEL DISCUSSION: The Future of Artificial Intelligence and Machine Learning in Aviation
Panel Members: Loren Groff; Gerard van EsModerator: Marco Merens
CLOSING: Summary and Future Steps
Marco Merens – Integrated Aviation Analysis (IAA) Section, ICAO