Operations Research, Systems Engineering and Industrial Engineering Commons^™

Sub-Orbital Spaceflight – An Addition To Our Multi-Modal Transportation System, Scott Haeffelin

Space Traffic Management Conference

The number of commercial spaceflights will be increasing by orders of magnitude over the next several decades. The current volume of space traffic can be managed on a case-by-case basis and there is little impact to the National Airspace System (NAS). This will change as more spaceports become operational, commercial sub-orbital flight companies begin serving their customers and as the cost of these flights begin to decrease. Current regulatory paths seek to allow the flexibility in the regulations for this industry to flourish while also maintaining a high standard of safety. There are, however, many nearsighted and old fashioned assumptions …

Space Data Integrator (Sdi) And Space Program Integrated Data And Estimated Risk (Spider): Proof-Of-Concept Software Solution For Integrating Launch And Reentry Vehicles Into The National Airspace System (Nas), Devin D. Dickens

Space Traffic Management Conference

The Space Data Integrator (SDI) Project is the initial step to satisfy the Federal Aviation Administration (FAA) strategic initiative to integrate commercial space launch and reentry vehicles into the National Airspace System. The project addresses the needs for greater situational awareness and monitoring, and increased response capability during non-nominal and catastrophic incidents during space operations.

The initial phase of this project leverages current FAA systems, and provide an initial demonstration of capability that will provide for state data from a commercial reentry vehicle to be ingested into a the FAA Traffic Flow Management System, and displayed on Traffic Situation Displays. …

A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross

Yale Day of Data

Post-market surveillance is a collection of processes and activities used by product manufacturers and regulators, such as the U.S. Food and Drug Administration (FDA) to monitor the safety and effectiveness of medical devices once they are available for use “on the market”. These activities are designed to generate information to identify poorly performing devices and other safety problems, accurately characterize real-world device performance and clinical outcomes, and facilitate the development of new devices, or new uses for existing devices. Typically, a device is monitored by comparing adverse events in the exposed population to a matched unexposed population. This research considers …

Detecting Periods Of Flight With High Task Load, James R. Parkinson, Steven J. Landry, Quang Dao, Caitlin Surakitbanharn

The Summer Undergraduate Research Fellowship (SURF) Symposium

Tools that predict dangerous working conditions empirically in the cockpit could greatly improve aviation safety. In an effort to lay the groundwork for such tools, this study will investigate whether a link exists between task load and pilots’ control strategies, their biometric data, and their planes’ position data. Using X Plane simulation software, an experiment will be run in which licensed pilots will fly a 3-nautical-mile approach into Mineta San Jose International Airport 4 times, under different task load conditions. During the flight, participants’ pupil diameters will be recorded along with the simulated aircraft position data and cognitive control modes. …

Identifying Mode Confusion In Recorded Aircraft Data, James Douglas Thomas, Yul Kwon, Steven J. Landry

The Summer Undergraduate Research Fellowship (SURF) Symposium

In recent decades, commercial aviation accidents have occurred due to human-machine interaction (HMI) problems known as “mode confusion.” This is caused, in some cases, by a lack of understanding of onboard systems by pilots. Large amounts of Flight Operational Quality Assurance (FOQA) data are available, analysis of which could assist in identification of safety risks in daily operations. Through analysis of pilot reactions and recorded aircraft data, methods to detect mode confusion are developed to improve aviation safety. This study was conducted by inducing mode confusion into a flight simulation scenario and analyzing aircraft data to detect emerging patterns. Three …

Nasa Human Exploration Rover Challenge, Gabriella E. Fortes, Zach Henney, Mo Sabliny, Johnnie Perry, Jessica Chow, Jessica Turcios, Aaron Taylor, Brenda Haven

Aviation / Aeronautics / Aerospace International Research Conference

NASA's Human Exploration Rover Challenge, held annually in at the Marshall Space Flight Center in Huntsville, Alabama, is an engineering design challenge that asks teams of student engineers to design a human-powered vehicle capable of traversing a simulated lunar surface. The rover must be able to be transported in a 5x5x5 foot cube, echoing the design constraint faced by the engineers who built the Lunar Roving Vehicles used by the astronauts of the later Apollo missions.

Airport Sms Software Analysis, Steven Goetz, Matt Romero, Yamini Gowda, Alyssa Manning

Aviation / Aeronautics / Aerospace International Research Conference

Historically, high risk industries such as aviation have attempted to respond to accidents by fixing what they find after the investigation is complete and therefore represents a reactive approach to an accident event. For many years, the industry has tried to become more proactive to these events by seeking out problems and correcting them before an accident occurs. A Safety Management System is a detailed and regimented process by which any high risk industry can try to become proactive in accident prevention. There are many tools that can be utilized to help develop this framework and accomplish this preventative goal. …