Mosaic ATM

Leesburg, VA, United States

Mosaic ATM

Leesburg, VA, United States
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Wei J.,Purdue University | Hwang I.,Purdue University | Hall W.D.,Mosaic ATM
12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | Year: 2012

Dynamic airspace configuration research intends to organize and reconstruct the airspace to better accommodate the uneven traffic distribution, alleviate the demand-capacity imbalances, and thereby increase the throughput of the entire national airspace system. However, past research has mainly focused on en route airspace. In this paper, we propose a mathematical programming based algorithm for dynamic terminal airspace configuration. With the understanding of the current terminal airspace organization and terminal operations, we handle the altitude changes by vertical stratification, formulate the airspace sectorization problem as an optimization problem, include separation regulations, flight path requirements and geometric restrictions as constraints, and construct a mathematical program. By solving for its optimal solution, we generate terminal airspace sectors which can account for the major traffic flows and accommodate the traffic variations. A preliminary benefit analysis is conducted to show the promising benefits of the proposed algorithm. © 2012 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.


Niedfeld P.,Brigham Young University | Beard R.,Brigham Young University | Morse B.,Brigham Young University | Pledgie S.,Mosaic ATM
Proceedings of the 2010 American Control Conference, ACC 2010 | Year: 2010

A reactive N-step look-ahead scheme is used to plan paths for an unmanned air-vehicle (UAV) to maximize the probability of successfully identifying an object on the surface. UAVs are used for reconnaissance, search and rescue, and surveillance missions where the quality of camera imagery can determine the success or failure of an operation. Reactive path planning and mathematical models for calculating the Probability of Detection, Recognition, and Identification (PDRI) have been studied independently, but never merged to plan paths for UAVs. Combining these techniques results in the highest probability of successful object identification from aerial video. We utilize the Targeting Task Performance (TTP) metric to estimate the P-DRI and successfully incorporate it into a look-ahead path planner. We present both simulation and experimental results. © 2010 AACC.


Capozzi B.,Mosaic ATM | Brinton M.,Mosaic ATM | Churchill A.,Mosaic ATM | Atkins S.,Mosaic ATM
AIAA/IEEE Digital Avionics Systems Conference - Proceedings | Year: 2013

Fast-time simulation can be a highly effective and cost-efficient mechanism for studying air traffic management (ATM) concepts and technologies. Simulation studies are generally less expensive than field experiments and allow a broader range of situations to be explored. However, the up-front cost of building or adapting a simulation to meet the research requirements is often larger than the cost of conducting the field study, motivating projects to skip this important phase of the research. The Metroplex Simulation Environment (MSE) is an evolving platform that provides a framework for rapidly assembling a purpose-built simulation from existing and newly built pieces, without having to reinvent and redevelop the core simulation infrastructure that can be common to any simulation. Common requirements such as data collection, visualization, generating variability and uncertainty, and handling configuration and input data are provided by the platform. Existing models of aircraft, pilot, and control behavior can be assembled to simulate the portion of the system relevant to the researcher, while new models representing the new technology or procedure being studied can be developed and plugged in. Over time, an increasingly large library of previously developed models is available for re-use or modification to satisfy the needs of new projects This organic approach to growth and re-use has resulted in capabilities that would have been difficult to design up front as part of a general-purpose ATM simulation framework. This paper surveys the current modeling capabilities of MSE and describes some future extensions of the framework to support additional use cases. © 2013 IEEE.


Fernandes A.B.,Mosaic ATM | Rebollo J.,Mosaic ATM | Koch M.,NASA
16th AIAA Aviation Technology, Integration, and Operations Conference | Year: 2016

Oceanic operations suffer from multiple inefficiencies, including pre-departure planning that does not adequately consider uncertainty in the proposed trajectory, restrictions on the routes that a flight operator can choose for an oceanic crossing, time-consuming processes and procedures for amending en route trajectories, and difficulties exchanging data between Flight Information Regions (FIRs). These inefficiencies cause aircraft to fly suboptimal trajectories, burning fuel and time that could be conserved. A concept to support integration of existing and emerging capabilities and concepts is needed to transition to an airspace system that employs Trajectory Based Operations (TBO) to improve efficiency and safety in oceanic operations. This paper describes such a concept and the results of preliminary activities to evaluate the concept, including a stakeholder feedback activity, user needs analysis, and high level benefits analysis. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.


Provan C.,Mosaic ATM | Lent S.,Mosaic ATM
AIAA/IEEE Digital Avionics Systems Conference - Proceedings | Year: 2014

Airport and Runway Configuration Management (ARCM) is an operational prototype decision support tool designed to improve traffic managers' effectiveness in choosing runway configurations and runway assignment policies. ARCM ingests flight schedules, real-time surveillance, and wind forecasts and generates recommended schedules of airport configurations that reduce delays and travel times between the gate and terminal airspace boundary while complying with system traffic flow constraints. The recommendations cover a rolling tactical timeframe of 90 minutes into the future. The web-based ARCM interface displays recommendations and statistics describing the predicted impact of a given configuration schedule on flight operations. The interface is designed to facilitate collaboration between air traffic control tower and terminal area traffic managers and, potentially, flight operators during the configuration planning process. ARCM was tested in a live field evaluation conducted over five three-day periods in January-March 2014 at Memphis International Airport. This paper describes the ARCM tool and details the outcomes of the field evaluation. © 2014 IEEE.


Chen H.,University of Minnesota | Zhao Y.J.,University of Minnesota | Provan C.,Mosaic ATM
Journal of Aircraft | Year: 2011

This paper presents a systematic study of the integrated scheduling and runway assignment of both arriving and departing traffic over an airport using a multiple-point scheduling scheme. Scheduling locations include runway thresholds as conventionally done and fixes over the terminal airspace and gates. This general runway scheduling problem is formulated as mixed-integer linear programming. Solution variables include scheduled times of arrival at the series of locations within a specified time window. In addition, both taxi and airborne routes for aircraft that are being scheduled are included as solution variables, from which optimal runway assignments can be determined. In this paper, the need for multiple-point integrated scheduling of both arriving and departing traffic is first discussed. Mathematical expressions of constraints and the optimization criterion are examined. Representation of the terminal route structure for solving this problem is explained. Real traffic data from the John F. Kennedy International airport is used in extensive numerical solutions to evaluate the computational speed and scheduling efficiency of different algorithms. Copyright © 2011 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.


Chen H.,University of Minnesota | Zhao Y.J.,University of Minnesota | Provan C.,Mosaic ATM
AIAA Guidance, Navigation, and Control Conference 2011 | Year: 2011

This paper presents dynamic strategies for the integrated scheduling and runway assignment of both arrival and departure traffic over an airport. While a static scheduling scheme handles traffic over a specified planning horizon simultaneously, sequential dynamic schedulers divide the planning horizon into a series of smaller scheduling windows and apply a static scheduling scheme sequentially over each window. Dynamic scheduling strategies are desirable for obtaining real-time solutions of continual traffic streams and for taking advantage of updated traffic information. In this paper, a multiple-point scheduling framework is used in which scheduling locations include runway thresholds as well as fixes over the terminal airspace and gates on the airport surface. Integrated static scheduling of both arrival and departure traffic is formulated as mixed-integer linear programming (MILP). Solution variables include scheduled times of arrival (STA) at the multiple scheduling locations and aircraft sequences at merge points. In addition, aircraft route assignments for both ground and airborne traffic are included as discrete solution variables, from which optimal runway assignments can be determined. Then, different dynamic strategies with either overlapping or non-overlapping scheduling windows are developed and compared. Induced constraints for ensuring sufficient separations among traffic in neighboring windows are discussed. Real traffic data from the JFK airport is used in extensive numerical solutions to evaluate the computational speeds and scheduling performances of different dynamic strategies. © 2011 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.


Zheng Q.,University of Minnesota | Zhao Y.J.,University of Minnesota | Capozzi B.,Mosaic ATM
AIAA Guidance, Navigation, and Control Conference | Year: 2010

Taxi conformance monitoring in air traffic surface operation determines if an aircraft is able to pass or arrive at specified target points on a taxi route on time. This paper presents a systematic procedure for taxi conformance monitoring. The proposed procedure is first based on predicting times of arrival (TOA) at a target point. Two different TOA prediction methods are presented: a dead-reckoning method and an intent modeling method. The dead-reckoning method assumes that the aircraft shall follow a constant speed in the near future. In comparison, the intent modeling method uses a dynamic speed profile that consists of a series of different speed segments. Both the taxi route geometry and aircraft performance capabilities are used in establishing the natures and magnitudes of these segments. Next, a taxi conformance monitoring criterion is introduced that takes into consideration the range of feasible aircraft times of arrival at the target point. It takes as inputs current measured aircraft states, aircraft speed limits, its maximum acceleration and deceleration capabilities, and distance to the target. Traffic data from the Dallas-Fort Worth (DFW) airport is used, together with Monte Carlo simulations over likely surveillance uncertainties, to evaluate the performances of the proposed methods in terms of TOA prediction accuracy, speed profile matching, and correct conformance prediction Copyright © 2010 by Qian Zheng, Yiyuan J. Zhao, and Brian Capozzi.


Difelici J.,Mosaic ATM | Wargo C.,Mosaic ATM
ICNS 2016: Securing an Integrated CNS System to Meet Future Challenges | Year: 2016

Operation of Unmanned Aircraft Systems (UAS) require the same degree of pre-flight and mission planning as that preformed for manned aircraft. The goal of routine operations has an evolving safety case which must include the review of actions and conditions of the aircraft and the pilot during normal, off-nominal, abnormal and emergency events. UAS flight planning is currently a manually intensive process, and trying to replicate a pilot's decision making course of actions for mission contingencies is an exceptionally tedious and lengthy activity. Additionally, the incorporation of contingency/emergency routes is left up to the planner and there is no guarantee of sufficiency or consistency of contingency plans when activated. To support the recurring assessment of these actions, Mosaic ATM has performed a 2 year NASA project to development a mission safety assessment and contingency support tool called Aviate. Our project objective is to automate the UA contingency flight planning process providing uniform accounting to known conditions, hazards, and other factors. We will field, increasingly, a capable product suite that supports the mission planner, the air traffic controller, the PIC, and the onboard intelligent piloting function. This will provide a level of confidence and an equivalent level of safety to unmanned aircraft mission planning prior to any UAS departures from airfields in the NAS or flights into through the NAS. © 2016 IEEE.


Wilson S.,Harris Corporation | King B.,Mosaic ATM
ICNS 2016: Securing an Integrated CNS System to Meet Future Challenges | Year: 2016

System Wide Information Management (SWIM) is a concept implemented by multiple Air Navigation Service Providers (ANSPs) to provide efficient access to systems, services, and data used for their operations. Global SWIM utilizes identical concepts, but instead focuses on the connectivity between ANSPs instead of systems and services within an ANSP [1]. A successful Global SWIM implementation enables interconnectivity between the SWIM networks of multiple ANSPs utilizing one or more GEMS (Global Enterprise Messaging Service) providers. In order to exchange flight, weather, and aeronautical information efficiently, the GEMS providers must adapt between each ANSP's local SWIM infrastructures [2, 3]. Providing end-to-end connectivity between authoritative sources of information (ANSPs, airlines, etc.) requires multifaceted adaptation of both a technical and procedural nature. During the Mini Global II demonstration, four industry partners (Harris Corporation, Mosaic ATM, NEC Corporation, and Indra Sistemas) each developed a Global SWIM Service that interconnected, forming an interoperable network providing users with access to information produced by multiple ANSPs through a single interface. During the development of these Global SWIM Services, it was necessary to utilize common messaging standards, such as AMQP, SOAP and REST, and common data standards, such as the Aeronautical Information Exchange Model (AIXM) [4], Weather Information Exchange Model (WXXM) [5], and Flight Information Exchange Model (FIXM) [6] to enable basic message exchange to ensure interoperability between the GEMS providers. However, it was found that an additional layer of interoperability is needed to bridge the differences in governance models used by each ANSP. The additional layer of interoperability will enable GEMS providers to adhere to the governance policies of the ANSPs and organizations connected to their service, and communicate these policies to other GEMS providers. The goal of this paper is to outline a framework for encoding the governance policies of multiple ANSPs for enforcement across multiple GEMS providers. © 2016 IEEE.

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