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At least 1,243 records · Page 69

Source Inspection Scheduling Calendar

Quality is an essential component for creating flight hardware travelling through space since the hardware is extremely expensive and cannot be reworked or repaired once launched. An important step in this process is ensuring the quality of hardware procured from Jet Propulsion Laboratory's (JPL) suppliers. An important element of determining supplier quality is source inspection. Source inspections are performed at suppliers' facilities by JPL employeesto ensure that hardware characteristics are acceptable before being covered up and/or delivered to JPL.

quality assurance↗

Separation-Compliant, Optimal Routing and Control of Scheduled Arrivals in a Terminal Airspace

We address the problem of navigating a set (fleet) of aircraft in an aerial route network so as to bring each aircraft to its destination at a specified time and with minimal distance separation assured between all aircraft at all times. The speed range, initial position, required destination, and required time of arrival at destination for each aircraft are assumed provided. Each aircraft's movement is governed by a controlled differential equation (state equation). The problem consists in choosing for each aircraft a path in the route network and a control strategy so as to meet the constraints and reach the destination at the required time. The main contribution of the paper is a model that allows to recast this problem as a decoupled collection of problems in classical optimal control and is easily generalized to the case when inertia cannot be neglected. Some qualitative insight into solution behavior is obtained using the Pontryagin Maximum Principle. Sample numerical solutions are computed using a numerical optimal control solver. The proposed model is first step toward increasing the fidelity of continuous time control models of air traffic in a terminal airspace. The Pontryagin Maximum Principle implies the polygonal shape of those portions of the state trajectories away from those states in which one or more aircraft pair are at minimal separation. The model also confirms the intuition that, the narrower the allowed speed ranges of the aircraft, the smaller the space of optimal solutions, and that an instance of the optimal control problem may not have a solution at all (i.e., no control strategy that meets the separation requirement and other constraints).

transportation network↗

ATD-1 ATM Technology Demonstration-1 and Integrated Scheduling

Enabling efficient arrivals for the NextGen Air Traffic Management System and developing a set of integrated decision support tools to reduce the high cognitive workload so that controllers are able to simultaneously achieve safe, efficient, and expedient operations at high traffic demand levels.

Traffic Management↗

Technology Cost and Schedule Estimation (TCASE) Final Report

During the 2014-2015 project year, the focus of the TCASE project has shifted from collection of historical data from many sources to securing a data pipeline between TCASE and NASA's widely used TechPort system. TCASE v1.0 implements a data import solution that was achievable within the project scope, while still providing the basis for a long-term ability to keep TCASE in sync with TechPort. Conclusion: TCASE data quantity is adequate and the established data pipeline will enable future growth. Data quality is now highly dependent the quality of data in TechPort. Recommendation: Technology development organizations within NASA should continue to work closely with project/program data tracking and archiving efforts (e.g. TechPort) to ensure that the right data is being captured at the appropriate quality level. TCASE would greatly benefit, for example, if project cost/budget information was included in TechPort in the future.

Wallace, Jon↗

Surface Operations Simulator and Scheduler (SOSS) Presentation

NASA - KAIA (Korea Agency for Infrastructure Technology Advancement) - KARI (Korea Aerospace Research Institute) collaboration surface air traffic management research has been ongoing since May 2015. In the first year collaboration, NASA's SOSS software has been transferred to KAIA and KARI teams to provide fast time simulation capability. Incheon International Airport model has been developed for SOSS.

surface traffic management↗

Report of Apollo 204 Review Board to the Administrator, National Aeronautics and Space Administration : Schedule of Physical Evidence - Appendix F

Immediately following the Apollo 204 accident of January 27, 1961. all associated equipment and material were impounded. Release of this equipment and material for normal use was under the close control of the Apollo 204 Review Board. Apollo Review Board Administrative Procedure No. 11, February 11, 1961, established the Apollo 204 Review Board Material Release Record (MRR). This MRR was the official form used to release material from full impoundment and was valid only after being approved by the Board and signed by a Member. The form was used as the authority to place any impounded item into one of the three Categories defined in Administrative Procedure No. 11. This appendix contains all of the authorized MRR's. Each item submitted on an MRR was given a control number; a description, including the part number and serial number; the relevance and location to the accident; any constraints before release; and the control category. The categories placed on the equipment were as follows: Category A - Items which may have a significant influence or bearing on the results or findings of the Apollo 204 Review Board; Category B - All material other than Category A which is considered relevant to the Apollo 204 Review Board investigation; Category C - Material released from Board jurisdiction. Several classes of equipment were released by special Board action prior to the establishment of the MRR system. The operating procedure for release of these classes is Enclosure F-l to this appendix.

Source record↗

Human Factors Impact of Different Ramp Controller Scheduling Advisories for ATD-2 Surface Metering in a Human-in-the-Loop Simulation

A human-in-the-loop (HITL) simulation took place in 2019 at NASA Ames Research Center’s Future Flight Central, an airport simulator with a full-scale 360-degree view that showed real-time airport operations at Dallas/Fort Worth International Airport (DFW). The HITL was part of the NASA/FAA Airspace Technology Demonstration 2 (ATD-2) project which involves an on-going field demonstration at Charlotte Douglas International Airport (CLT). In the field demonstration, metering on the airport surface takes place with one of the goals being to reduce runway queue length by holding aircraft at the gate during busy times, thereby reducing fuel burn and CO2 emissions. This goal has been successfully accomplished at CLT by showing Ramp Controllers when to release aircraft at the gate so as to reduce aircraft waiting in the queue. Among the questions that the current simulation at DFW was designed to address were, "Which types of advisories to the Ramp Controllers work best, those that show a ±2 minute window for a release time from the gate, or a ±5 minute window for an arrival time at the spot (where Air Traffic Control takes over) or both?" and "How do these different types of advisories affect Ramp Controller workload and situation awareness?" Another question was, “Does a ramp that is less restrictive than the one at CLT affect compliance with these advisories?”

Bonny K Parke↗