Abstract: The presentation introduces air traffic management with focus on air traffic data for data-science. Starting with the common attributes of transportation systems — highway transportation, air transportation and data transportation, the initial set of slides discuss the purpose of data-science in air traffic management, reasons why air traffic management is challenging, and the multidisciplinary nature of air traffic management research. The history of flight from 1903 — Wright Flyer — to 1987 — formation of the National Air Traffic Controllers Association — is briefly discussed. The national airspace system is described in terms of airports in the U. S., air traffic control facilities (flight service stations, terminal, enroute and system command center), airspace geometry (sectors, airways and navaids), governing regulations and directives, airspace classification (Class A through G), special use airspace, visual flight rules and instrument flight rules. The contents of a flight-plan are described. Weather briefing is discussed. The surveillance equipment used for surface, terminal area and enroute are described, and the aircraft states obtained using the surveillance data are listed. Airline operations control functions — schedule development, flight planning, resource scheduling and flight following — are noted. Next, the roles and responsibilities of air traffic controllers and traffic flow managers are discussed. Separation standards and conflict resolution techniques are outlined. Finally, traffic flow management techniques are reviewed with an illustrative example.
The NASA Berkeley Aviation Data Science Seminar Series was launched in spring 2020 and is held weekly on Wednesdays in Stanley 106, at 11:00 AM - 12:00 PM, from January 22 through May 6. Presenters include experts in government, industry, and academia, who focus on how big data collection and machine learning are transforming aircraft, airspace, and airport operations, with topics ranging from feedback control, IoT, and IoV to autonomy, AI, and data security. All seminars are livecast and interactive across both campuses. The series is also being offered as a 1-credit course: the Berkeley course numbers are CEE198/CEE298 (class #: 33393) and CP298 (class #: 13328). This seminar series is hosted by NASA and UC Berkeley, sponsored by the Universities Space Research Association (USRA) and NASA Academic Mission Services; and presented by UC Berkeley's Urban Air Mobility Research Center (UAM@Berkeley), the Berkeley Institute of Transportation Studies, and BIDS.
Dr. Gano Chatterji received a B. Tech. in mechanical engineering from the Indian Institute of Technology in Kanpur, India, and an M.S. in engineering science from the University of Mississippi. He received his Ph.D in mechanical engineering from the Santa Clara University. Dr. Chatterji is currently a Senior Scientist and Lead at Crown Consulting, Inc., working on the NASA Academic Mission Services contract at NASA Ames. Gano has over thirty-three years of research and development experience in the field of aerospace engineering, specializing in the areas of air traffic management, machine vision and pattern recognition, and flight dynamics and control. Gano has worked on the development of large-scale simulators for air traffic management research for most of his career at NASA Ames. Gano is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). He has received several awards from NASA including Software of the Year and Government Invention of the Year awards; he is a recipient of the IEEE M. Barry Carlton Award and the AIAA Aerospace Software Engineering Award.