Traffic Flow Management (TFM) Weather Rerouting Decision Support. Stephen Zobell, Celesta Ball, and Joseph Sherry MITRE/CAASD, McLean, Virginia

Similar documents
2001 The MITRE Corporation. ALL RIGHTS RESERVED.

INTEGRATING IMPROVED WEATHER FORECAST DATA WITH TFM DECISION SUPPORT SYSTEMS Joseph Hollenberg, Mark Huberdeau and Mike Klinker

INTEGRATING IMPROVED WEATHER FORECAST DATA WITH TFM DECISION SUPPORT SYSTEMS Joseph Hollenberg, Mark Huberdeau and Mike Klinker

Weather Integration for Strategic Traffic Flow Management

DESCRIPTION OF URET ENHANCEMENTS TO SUPPORT SEVERE WEATHER AVOIDANCE. Winfield S. Heagy* and Daniel B. Kirk

Evaluation of Collaborative Rationing of En Route Resources. Josh Marron, Antonio Abad Bill Hall, Francis Carr, Steve Kolitz 25 Sept 2003

Weather Products for Decision Support Tools Joe Sherry April 10, 2001

Probabilistic TFM: Preliminary Benefits Analysis of an Incremental Solution Approach

A Methodology and Results for Comparative Assessment of the Prediction Performance of the Collaborative Routing Coordination Tools (CRCT)

Forecast Confidence. Haig Iskenderian. 18 November Sponsor: Randy Bass, FAA Aviation Weather Research Program, ANG-C6

Traffic Flow Impact (TFI)

1.6 A RESPONSE TO HAZARDOUS WEATHER: INTEGRATE WEATHER INFORMATION INTO TRAFFIC FLOW MANAGEMENT

National Airspace System Probabilistic Traffic Flow Management in Inclement Weather

*Senior Principal Engineer, Senior Member AIAA Copyright 2003 by the MITRE Corporation.

Cross-cutting Issues Impacting Operational ATM and Cockpit Usability of Aviation Weather Technology. John McCarthy Sherrie Callon Nick Stoer

Tactical Weather Decision Support To Complement Strategic Traffic Flow Management for Convective Weather *

Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010

Deferability: A Concept for Incremental Air Traffic Management Decision Making

Translating Meteorological Observations into Air Traffic Impacts in Singapore Flight Information Region (FIR)

National Convective Weather Forecasts Cindy Mueller

Accuracy in Predicting GDPs and Airport Delays from Weather Forecast Data

Kevin Johnston FAA System Operations Tom Lloyd JetBlue Airways Presented to: AMS New Orleans, LA January 25, 2012

Isolating and Assessing Weather-related Air Traffic Delays. A closer-look at what makes this so difficult... Mike Robinson AvMet Applications, Inc.

Analytical Workload Model for Estimating En Route Sector Capacity in Convective Weather*

Using Ensemble Forecasts to Support NAS Strategic Planning

1.1 ATM-WEATHER INTEGRATION AND TRANSLATION MODEL. Steve Bradford, David J. Pace Federal Aviation Administration, Washington, DC

P1.1 THE NATIONAL AVIATION WEATHER PROGRAM: AN UPDATE ON IMPLEMENTATION

Implementing Relevant Performance Measures for Traffic Flow Management

Reprint 797. Development of a Thunderstorm. P.W. Li

Extended TFM Coordination Through Collaborative Planning

Motivation for Operational Bridging and the Aviation Weather Statement

Montréal, 7 to 18 July 2014

Two Methods for Computing Directional Capacity given Convective Weather Constraints

Airport Meteorology Analysis

Corridor Integrated Weather System (CIWS) MIT Lincoln Laboratory. CIWS D. Meyer 10/21/05

WMO Aeronautical Meteorology Scientific Conference 2017

THIS PAPER addresses the decoupling of conflictresolution

Weather Evaluation Team (WET)

Network Severe Weather Programme

Future Aeronautical Meteorology Research & Development

ESTIMATING THE LIKELIHOOD OF SUCCESS IN DEPARTURE MANAGEMENT STRATEGIES DURING CONVECTIVE WEATHER

PROBABILISTIC METHODS FOR AIR TRAFFIC DEMAND FORECASTING

[EN-A-083] Potential Benefits of Speed Control on Delay and Fuel Consumption

Weather Technology in the Cockpit (WTIC) Shortfall Analysis of Weather Information in Remote Airspace Friends and Partners of Aviation Weather Summer

Blend of UKMET and GFS 3hr increments F06 to F degree downloadable grid available on WIFS

and SUMMARY preliminary parameters. 1.1 MET/14-IP/ /15 In line 1.2 WORLD INTERNATIONAL CIVIL AVIATION ORGANIZATION 2/6/14 English only

The Planning of Ground Delay Programs Subject to Uncertain Capacity

International Civil Aviation Organization

(2016) MASSACHUSETTS INSTITUTE OF TECHNOLOGY

A Probabilistic Collocation Method-based Approach for Optimal Strategic Air Traffic Flow Management under Weather Uncertainties

An Exploratory Study of Modeling Enroute Pilot Convective Storm Flight Deviation Behavior. Lincoln Laboratory

Advances in Weather Technology

4.2 EVALUATION OF AN AIRPORT CAPACITY PREDICTION MODEL FOR STRATEGIZING AIR TRAFFIC MANAGEMENT

2.3 QUANTIFYING DELAY REDUCTION BENEFITS FOR AVIATION CONVECTIVE WEATHER DECISION SUPPORT SYSTEMS*

Aviation Weather Services (AJW-94)

Complexity Metrics. ICRAT Tutorial on Airborne self separation in air transportation Budapest, Hungary June 1, 2010.

Emerging Aviation Weather Research at MIT Lincoln Laboratory*

3.1 NEXTGEN WEATHER REQUIREMENTS

Federal Aviation Administration Optimal Aircraft Rerouting During Commercial Space Launches

Practical Applications of Probability in Aviation Decision Making

Strengthening the CDM triad: A view from the cockpit

Federal Aviation Administration

Measuring In-cloud Turbulence: The NEXRAD Turbulence Detection Algorithm

Remote Oceanic Meteorology Information Operational (ROMIO) Demonstration

A Scalable Methodology For Evaluating And Designing Coordinated Air Traffic Flow Management Strategies Under Uncertainty

On the Modeling of Airport Arrival and Departure Delay Distributions

Verification and performance measures of Meteorological Services to Air Traffic Management (MSTA)

Aviation Weather A NextGen Perspective. Mark Andrews Federal Chair Weather Working Group Joint Planning and Development Office July 21 st, 2010

INTEGRATED TURBULENCE FORECASTING ALGORITHM 2001 METEOROLOGICAL EVALUATION

NextGen. NextGen Weather - An FAA Overview. Presented by: Mary M. Cairns NextGen Reduce Weather Impact Solution Set Coordinator Date: July 21, 2010

Amy Harless. Jason Levit, David Bright, Clinton Wallace, Bob Maxson. Aviation Weather Center Kansas City, MO

Technical Description for Aventus NowCast & AIR Service Line

Description of the Corridor Integrated Weather System (CIWS) Weather Products

Jarrod Lichty, R. S. Lee, and S. Percic AvMet Applications, Inc., Reston, Va.

Analysis of SIGMET Coordination between Neighbouring MWOs

Deputy Director for Science NCAR Aviation Applications Program

Causal Analysis of En Route Flight Inefficiency in the US

Building a Weather-Ready Nation For Aviation

Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds.

ATM Network Performance Report

Trajectory-Based Integration of Aircraft Conflict Detection and Weather Avoidance Fields

Strengthening the CDM triad: A view from the cockpit

THE CORRIDOR INTEGRA TED WEATHER SYSTEM (CIWS)

A DISPLAY CONCEPT FOR STAYING AHEAD OF THE AIRPLANE

Technical Description for Aventus NowCast & AIR Service Line

FPAW October Pat Murphy & David Bright NWS Aviation Weather Center

SIMULATING AIR TRAFFIC BLOCKAGE DUE TO CONVECTIVE WEATHER CONDITIONS. 270 Ferst Drive NW 1100 S. Marietta Pkwy. 270 Ferst Drive NW 765 Ferst Drive, NW

Corridor Integrated Weather System Operational Benefits : Initial Estimates of Convective Weather Delay Reduction

United Airlines Vision for Weather Decision Making

Operational Usage of the Route Availability Planning Tool During the 2007 Convective Weather Season. Lincoln Laboratory

J11.3 Aviation service enhancements across the National Weather Service Central Region

Applications of Linear Programming - Minimization

1.5 OBSERVED HEURISTICS AND BIASES IN AIR TRAFFIC MANAGEMENT DECISION MAKING USING CONVECTIVE WEATHER UNCERTAINTY *

WMO Aeronautical Meteorology Scientific Conference 2017

Weather Information for Surface Transportation (WIST): Update on Weather Impacts and WIST Progress

10.2 WEATHER INTEGRATION CONCEPT OF OPERATIONS FOR TRANSFORMING THE NATIONAL AIRSPACE SYSTEM

AN ANALYSIS OF POTENTIAL CAPACITY ENHANCEMENTS THROUGH WIND DEPENDENT WAKE TURBULENCE PROCEDURES

NAS WEATHER INDEX: QUANTIFYING IMPACT OF ACTUAL AND FORECAST EN-ROUTE AND SURFACE WEATHER ON AIR TRAFFIC

EXPLORATION OF A MODEL RELATING ROUTE AVAILABILITY IN EN ROUTE AIRSPACE TO ACTUAL WEATHER COVERAGE PARAMETERS

A Stochastic Spatiotemporal Weather-Impact Simulator: Representative Scenario Selection

Transcription:

Traffic Flow Management (TFM) Weather Rerouting Decision Support Stephen Zobell, Celesta Ball, and Joseph Sherry MITRE/CAASD, McLean, Virginia Stephen Zobell, Celesta Ball, and Joseph Sherry are Technical Staff in MITRE s Center for Advanced Aviation System Development (CAASD). Mr. Zobell holds a Masters degree in Computer Science from George Washington University and has 16 years experience in the fields of Air Traffic Control and weather processing systems. Dr. Ball holds a Ph.D. degree in Information Technology and Engineering from George Mason University and has 17 years experience in air traffic management systems. Mr. Sherry holds a Masters degree in Atmospheric Science from Georgia Institute of Technology and has 19 years experience in the fields of Air Traffic Control, meteorology, and systems engineering. During 1999, record air traffic delays (up 22.2% from 1998) were experienced in the National Airspace System (NAS). Of these delays, 68.8% were weather-related (Jones, 2000). In response, the Federal Aviation Administration (FAA) and the aviation industry have initiated a partnership to improve communications between the FAA and airlines and to expand the use of technology to help alleviate air traffic delays caused by severe weather. The FAA s Center for Advanced Aviation System Development (CAASD), run by the MITRE Corporation, is developing a Traffic Flow Management (TFM) decision support tool that will help plan the safe and efficient movement of aircraft around convective weather systems while accurately predicting the impact on controller workload and aircraft delays. The goals of this tool are to reduce aircraft delays, make better use of airspace capacity, increase schedule predictability, and maintain safe controller workloads. This tool is implemented as an enhancement to the Collaborative Rerouting Coordination Tool (CRCT) and is called CRCT Weather Problem Resolution (CRCT-WPR). CRCT Baseline CRCT (Wanke, 2000) is a set of decision support capabilities being developed by CAASD to evaluate and demonstrate future TFM concepts. Baseline CRCT is currently in daily use and is being operationally evaluated at two sites: the Air Traffic Control System Command Center (ATCSCC) and the Kansas City Air Route Traffic Control Center (ARTCC). Baseline CRCT includes functionality for rerouting around manually-generated Flow Constrained Areas (FCAs), automatic identification of aircraft predicted to enter FCAs, manual rerouting of aircraft around FCAs, and automatic assessment of the impact of proposed reroutes on sector traffic volume. In baseline CRCT, a Traffic Management Specialist (TMS) manually draws an FCA polygon to represent an area impacted by weather or other factors that limit traffic flow. Manual FCA generation

is practical only when few FCAs are needed and the weather is very stable and predictable. This is often not the case with convective weather, which can consist of many storm cells moving at various speeds and directions and involving complex cell growth, decay, splitting and merging. CRCT-WPR One improvement CRCT-WPR adds to CRCT is automatic generation of weather FCAs using a weather forecast product. The forecast products currently available include the National Convective Weather Forecast (NCWF) and the Collaborative Convective Forecast Product (CCFP). The NCWF (Mueller, 1999) is a computer model developed by the National Center for Atmospheric Research (NCAR), which provides forecasts extending out one or two hours and is updated every five minutes. CRCT-WPR uses the NCWF; however, the use of CCFP or other forecasts is being investigated. Figure 1 shows a CRCT Traffic Display with FCAs derived from the NCWF forecast. The FCA polygons represent detections and predictions of severe convective weather extending out in half-hour intervals (0-, 30-, 60-, and 90-minute forecasts). Each weather FCA includes an altitude top and time range. CRCT automatically predicts which flights will intersect these FCAs using the aircraft trajectory and the 4- dimensional location of the FCA. Figure 1. NCWF Convective Weather Forecast Polygons The TMS can use CRCT-WPR to create a plan to reroute the flights that are in conflict with the FCAs around the weather. The TMS determines how aircraft will flow around the storms and through any holes between storms by generating TFM- Designated Reroutes (TDRs). TDRs are reroute paths created by clicking on locations on the display. Figure 2 shows an example of four TDRs, two north and two south of

the storm. Although these TDRs have only two nodes each, TDRs can have any number of nodes, any orientation, and can cross each other. Figure 2. TFM-Designated Routes (TDRs) on the Traffic Display The TMS can specify parameters for each TDR, such as time period, altitude range, maximum angle aircraft can turn to deviate from their original route, and entry rate. The TDR entry rate specifies the minimum spacing between two aircraft that are joining a TDR. For example, if the TDR entry rate is set to 30 per hour, aircraft must be spaced 2 minutes apart when they join the TDR. The TDR rate allows the TMS to control the flow of aircraft and determines how much traffic will be diverted to each TDR. After the TMS creates an initial plan, CRCT-WPR evaluates the plan and attempts to find reroutes onto the TDRs for flights that are in conflict with weather. First, the TDRs that each flight could potentially use are determined based on the maximum turn angle, time range, and altitude limits of the TDRs. Then, CRCT-WPR performs an optimization to determine which flights will be assigned to each TDR based on minimizing arrival delays while staying within the rate limits of each TDR. Flights scheduled to take off after the plan start time can be delayed on the ground in order to fit into an available slot on a TDR.

The dotted lines on Figure 2 show the proposed reroutes generated by CRCT-WPR for this plan. Rerouting to one of the two TDRs closest to the storm would cause the least delay for most flights, but the rate limits on these TDRs have caused some of those flights to use the TDRs further north and south. The plan in Figure 2 required less than 10 seconds for CRCT-WPR to evaluate. However, execution time increases as the number of conflict aircraft or TDRs increases. Since CRCT-WPR is designed for rapid processing, plans can be created, evaluated, modified, and reevaluated quickly. When the plan evaluation is complete, CRCT-WPR displays the plan results including statistics on flight delays and the number of aircraft rerouted. Information is also displayed about the flights that were not able to be incorporated into the plan, including the number of flights that could not find a slot on any TDR, and the number of flights that would have to turn too sharply to reach a TDR. CRCT also generates predicted sector loading based on the plan reroutes, so that the TMS can determine whether the reroutes might cause unacceptable workloads for sector controllers. Elevated sector counts may not always mean that a plan should be rejected. The plan shown in Figure 2 will route all flights going south of the storm through one sector (Kansas City sector number 30) causing higher-than-normal sector counts. But the flights that are rerouted into sector 30 are all being merged and lined up in four neighboring sectors. Within sector 30, these flights will be flying in-trail on the two parallel TDRs. Slightly elevated sector counts may be acceptable for this sector as long as the crossing traffic is light. The ability to spread the work of handling merging and diverging traffic across several sectors is an important capability of CRCT-WPR. CRCT also has a Future Traffic Display where the TMS can view the predicted locations of aircraft or weather. Using this display, the TMS can look at future periods of high congestion and assess whether the situation might be too complex for sector controllers. If the TMS is unsatisfied with the results of the planned reroutes, the plan can be modified. The entry rates on TDRs can be lowered to reduce traffic through congested sectors, the rates can be raised for under-utilized TDRs, and new TDRs can be added to avoid congested areas or to increase the number of flights using the plan. The new plan is then evaluated, a new set of reroutes is produced, and the results of the new plan are assessed. This cycle can be repeated until the TMS is satisfied that the plan moves flights past the weather as efficiently and safely as possible. While CRCT-WPR is built specifically to handle weather, the tool can also work for other flow restriction problems. For example, an equipment failure disrupting ATC in a particular region can be handled using CRCT-WPR by manually generating an FCA around the region and building TDRs to route flights around the FCA.

Next Steps CRCT-WPR is ongoing research. CAASD is assessing NCWF accuracy to determine guidelines for how close TDRs can be safely placed near weather forecast polygons in different situations. CAASD is also assessing CRCT-WPR in a laboratory environment to determine whether CRCT-WPR can perform better than the current TFM procedures in certain weather situations. Field evaluations of CRCT-WPR are planned for 2001. In order to be an effective TFM decision support tool, CRCT-WPR still needs to be expanded and improved in some areas. These areas of research include the following: Improved weather forecasts and understanding of forecast accuracy Expanded collaboration (including ATCSCC, ARTCCs, Airlines, and Pilots) Improved load balancing and resource rationing Improved controller workload predictions Improved management of forecasting inaccuracies In conclusion, CRCT-WPR can be an effective tool for dealing with large convective weather systems and other traffic flow problems. Continued research by CAASD and weather research organizations will improve the ability of CRCT-WPR to safely reduce flight delays caused by convective weather. REFERENCES Jones, F., 2000: FAA press release of President s news conference announcing Spring 2000 initiative, 10 March 2000, DOT, Washington, DC. Mueller, C. K., Fidalgo, C. B., McCann, D. W., Meganhardt, D., Rehak, N., Carty, T., 1999: National Convective Weather Forecast Product, Preprints, Eighth Conference on Aviation, Range, and Aerospace Meteorology, Dallas, TX, 10-15 January 1999, American Meteorological Society. Wanke, Craig, Collaborative Routing Display Tools (CRCT): Developing Traffic Flow Management Decision Support Concepts. Paper published in the 45 th Annual Air Traffic Control Conference Proceedings, Fall 2000. 2000 The MITRE Corporation. The contents of this document reflect the views of the author and The MITRE Corporation. Neither the Federal Aviation Administration nor the Department of Transportation makes any warranty or guarantee, expressed or implied, concerning the content or accuracy of these views.