1. Overview of Operations Research Group Data and Sources Maintained in the ORLAB
January 2015

2. ORLAB Darwin Dantzig Neumann Simplex Cholesky Markov Turing PDARS
Hades
Oracle Machine
ExtendSim
ILOG CPLEX Optimization Studio & SAS
SAS & AwSIM
AwSIM
Turing
SWAC
Software & Applications
Microsoft Visual FoxPro
Analytica
SPSS
SAS*
Crystal Ball
ExtendSim*
ILOG CPLEX Optimization Studio*
AwSIM*
SWAC*
PDARS/GRADE*
Storage Devices
Cyclops
Polyphemus
Arges
Tracks
PDARS
Performance Data and Analysis Reporting System
* These tools are available only on the indicated machine(s)

3. Information Data Tracking Sheet
\\CYCLOPS\Public\ORLAB_Cheatsheet_Vx.x – accessible from all workstations
Excel file provides overview of many useful data sets, resources, model and tool outputs maintained in a centralized location on a ORLAB network drive
Designated OR Group POCs
Strong alignment with data sources, models and tools annotated in the IP&A Guidance documentation for Investment Analysis
Data Tracking Sheet also provides links and information to the following
Internet Performance Management and Analysis Capability (iPMAC) access
File Transfer Protocol (FTP) access for data exchange of large data sets
Software licenses

4. Information (Cont.) Accessible through assigned user accounts to
All IP&A staff
External Users
Access of each of the ORLAB resources have contributed heavily to the development and review of the benefits and business cases for virtually all FAA acquisition programs in Investment Analysis
Enables validation of program office claims and estimates
Quantified/monetized benefits drive decision-making and are
subject to public release

5. Importance of Data Repository in the ORLAB
Why access and usage of data is essential:
Quantified/monetized benefits
Drive decision-making
Subject to public release
The Program Office cannot always provide and/or utilize the proper data to validate the estimated benefits (e.g., 3rd party or private entity is the data source)
Assumptions or bias in the data is not always apparent; replicating the estimate from the ground up with data is often necessary
Changes in the methodology or investment scope often necessitate changes to the underlying data or key benefits drivers
Having a large data repository to draw from allows quicker adaption in these circumstances

6. Answering Questions with Data & Tools
Goal
Datasets & Applications
Metrics Utilized
ASPM
PDARS
TAAM
iPMAC
Enhance Surface Efficiency
Taxi-Out
Gate Hold
EDCT Compliance
Runway Configuration Usage
Weather
Goal
Datasets & Applications
Metrics Utilized
Sector Volume
Traffic Management Initiatives
Holds and Vectors
Fuel Burn
Airborne Time
Enhance Airborne Efficiency
PDARS
SWAC
AIM (NASR)
NTML
iPMAC
BADA
Legend
Application
Metric
Dataset

7. Answering Questions with Data & Tools
Goal
Datasets & Applications
Metrics Utilized
ASPM
SWAC
AwSIM
Surface Weather Observations
Excess Distance
Excess Time
Inter-arrival Time to the Runway
Frequency of Winds, Tstorms, Ceiling/Vis
Enhance Arrival Delivery in Terminal
Fuel Burn
Goal
Datasets & Applications
Metrics Utilized
FSEP
NASPAS
Parts Demand
Parts Inventory
Mean Time to Restore
Outages
Utilization of Facility
LIS
Facility Performance
RMLS
TechNet
Equipment Related Delay
Legend
Application
Metric
Dataset

8. Answering Questions with Data & Tools
Goal
Datasets & Applications
Metrics Utilized
NTSB (Accident Incident Database)
Runway Incursion Database
ASIAS
Accident Rates
Runway Incursion Rates & Classifications
Near Mid-Air Collisions (NMAC)
Weather Conditions
Safety
NMAC
Operational Errors
ASRS
Legend
Application
Metric
Dataset

9. Organization Attributes Safety Facility Weather Logistics Resources
Supportability
Safety
Weather
Resources
ILLUSTRATIONS

10. Attributes

11. Airports Data Data in Directory \\CYCLOPS\Public\Data\Airports
Airport and runway attributes
Includes Pareto curves used for NextGen modeling scenarios
System-Wide Analysis Capability (SWAC) generated Pareto curve data
Capacity points mark changes in arrival-departure throughput tradeoffs
Airport Arrival Rate (AAR)/Airport Departure Rate (ADR) views
Provides AARs and ADR distributions at the 30 Core Airports for two representative 2008 months
Includes rates by month, day, and hour
Breakdown by runway configuration
Code written in SAS, easily reproducible to update to other years/months
Example of a file: Core_30Distribution Tables Jan2008_AAR_ADR.xls
2008 had high traffic volume (9% higher than next busiest year) relative to subsequent 6 years
Useful for comparing call rates from previous years used in “as-is” case relative to future years, e.g., 2008 vs at PHL during IMC

12. Airports Data (Cont.) Capacity Primary documents include: Other
Airport Capacity Profiles – 2014
Capacity-related information for each of 30 core airports + LGB, SNA and OAK
FACT 3:Airport Capacity Needs in NAS – January 2015
Estimation of Arrival-Departure Capacity Tradeoffs in Multi-Airport Systems - MIT
Benchmarking Airport Capacity Sample Analyses from FAA Sponsored Comparisons of US and European Airport Capacities and Delay Principle Investigators – MIT and ECAD
Airport Councils International Statistics Manual (2011): addressing best practices
Airport Capacity Rules of Thumb
Airport Capacities at Major National Airspace System (NAS) Airports (Current and Future Estimates from Physical Improvements) 2008 – OR Group Product
Other
National Flight Data Center (NFDC) data includes airport and runway attributes for airports, heliports, etc.

13. AIT National Data Center
Data Source Acronym
Data Source Name
CAS
Cost Accounting System
CPMIS*
Consolidated Personnel Management Information System
CUPS*
Consolidated Uniform Payroll System
CWP
Corporate Work Plan
DAFIS*
Departmental Accounting and Financial Information System
DELPHI
Oracle Financial System
EM*
Event Manager
ESIS / EMRS*
Environmental Safety Information System / Energy Management and Reporting System
FIMS*
Financial Information Management System
FPPS
Federal Personnel and Payroll System
FSEP FFA
Facility, Service Equipment Profile (Facility / Service Primary Information Subset)
IFMS
Invoice and Financial Management System
IPPS*
Integrated Personnel and Payroll System
LDR
Labor Distribution Report
LIMS*
Lease Information Management System 
LIS*
Logistics and Inventory System
LMS*
Learning Management System
NASDATA*
National Airspace Performance Analysis System
REGIS
Regional Information System
RESTORE
Revitalize Existing Structures Common Technology and Operational Resources System
RTP
Resource Tracking Program
SSAS*
Staffing Standards Analysis System
TIMS*
Telecommunications Information Management System
UIS
Unstaffed Infrastructure Sustainment
Data in Directory \\CYCLOPS\Public\Data\NDC
Data dictionaries available for several files through
ORLAB stores files for the following:
RMLS/NASPAS
NASPAS_E_RMLS files ( ) provide the following information:
location information, facility type and failure cause codes
NASPAS within NDC contains a smaller subset of the data from the NASPAS interface (See NASPAS slide)
LIS
Historical Loads files ( ) provide the following information by
National Stock Number (NSN)
App_to_code and category code
Part number
Purchase price, sales price, shop repair price
IFMS/TIMS
IFMS_FTI_COST_HST, a historical table containing the monthly charges
for FTI from the Invoice and Financial Management System (IFMS)
DISA_CCO_CUR - contains the current month's charges of each Communications Service Authorization (CSA) account

14. Airline Service Quality Performance (ASQP)
Data in Directory \\CYCLOPS\Public\Data\ASQP
Provided to OR Group by Bureau of Transportation Statistics (BTS) via File Transfer Protocol (FTP) on a monthly basis
Carriers with one percent or more of total domestic scheduled service passenger revenues; their flights involving any airport in the 48 contiguous states
Flight level Information – averages 15,000 to 20,000 flights per day
Key Metrics Include:
scheduled and actual block times
arrival and block time delays
taxi-in and taxi-out times
airborne times
gate-hold times
tail numbers
cancellation and delay causes
Customized historical individual flight and summary files (1995 – present)
Airport level
Daily NAS Performance, e.g., Nov 10, 2013
Weather Delay summaries

15. Aviation System Performance Metrics (ASPM)
Data in Directory \\CYCLOPS\Public\Data\ASPM
Flight data to/from 77 airports with additional time stamps and measures beyond what ASQP provides
Merge of key fields from FSDS, ETMS/TFMS, and ASQP
Flights from 2000 to present
30,000 to 35,000 flights per day
ETMS/TFMS data incorporated into hour, quarter hour, and individual flight files
Key fields include
Flight plan and as-flown messages
Runway configuration
Hourly and quarter hour airport Arrival and Departure Rates (AAR, ADR)
Facility, scheduled demand, and throughput rates
Delays by phase of flight (e.g., block, taxi, airborne)
Cancellations and diversions
Expected Departure Clearance Time (EDCT) flights – flights in ground stops, Ground Delay Programs (GDPs) or Airspace Flow Programs (AFPs)

16. ASPM (Cont.)
Customized historical individual flight and summary files (2000 – present)
Delays by weather condition (i.e., VMC, MMC, IMC, CAT 1/II/III, and Thunderstorms)
Frequency distributions of taxi times by airport/month
Documents
Data Dictionary of the following: hour, quarter hour, individual flights, and cancellations
Terminal Airport Efficiency Rate (TAER) and System Airport Efficiency Rate (SAER) reporting available through aspm.faa.gov
The TAER was developed to measure TRACON performance and the impact of Traffic Management Initiatives (TMI) within 100 miles of the airport
Not just a measure of the approach control performance, ARTCCs ability to deliver traffic evenly also impacts this measure

17. Aviation Forecasts Data in Directory \\CYCLOPS\Public\Data\Forecast
Directory includes the following:
Terminal Area Forecast (TAF): historical and projected terminal (enplanements and operations) through 2040
FAA Aerospace Forecasts: statistics of Commercial Air Carriers, Regionals, through 2034 and measures in RPMs, ASMs, and hours flown. Includes reference to international forecasts
UAS forecasted spending through 2023
IFR Aircraft Handled by ARTCC: breakdown by ARTCC and Region, projections through 2034
Other: General Aviation and Air Taxi Activity, Short-term economic forecasts (CPI, Real GDP), US Regional Carrier (RPM, seat attributes, etc.)

18. AwSIM Summary Data in Directory \\CYCLOPS\Public\Data\AWSIM_Analysis
Base AwSIM experiment is “TOP” with the “ANE” experiment selection option
Users can create their own experiment in “TOP”
Provides visual (through AvID) of trajectories overlaid on a map for single days (through TOP and AvID) or range of dates (through Flightscope and AvID)
Flightscope provides ability to quickly evaluate multiple days over a 24-hour period, e.g., all flights from 5-6pm arriving into DCA from April 1, 2014 – April 10, 2014 on one screen
Provides large data sets (trajectories and trajectory metrics) of flight plans and “as-flown” trajectory results for flights that traverse the NAS (\Aerospace\AwSim\data\ane)
Data is stored on local network drives attached to each computer:
Markov (F: Drive - Arges) (Date Range: )
Cholesky (P: Drive - Polyphemus) (Date Range: 2012 – 2014)
Processed AwSIM outputs are in text format
Can be further processed by analysts using other software packages for database queries, statistical analysis, or visual analytics
Files include Trajectory files, TRS metrics, Air Traffic Metrics, Conflict Probe, Flight Plan/Flown differences

19. AwSIM Summary (Cont.) Customized AwSIM experiments include:
Terminal sequencing and spacing (17 airports)
Runway delivery accuracy (9 airports)
IAH Pre-post analysis – e.g., IAH arrivals before and after PBN procedure changes in 2014
Oceanic experiment filed and “as-flown” North Atlantic and Pacific flight tracks for 6 sample days (September 28 thru October 2, 2014)
Customized AwSIM data outputs include:
Flight events, e.g., fix passing and airspace exit/entry
Origin – Destination (O-D) pair attributes
“as-flown” track length, distance and excess distance (cruise and terminal) by flight
Aircraft type and Aircraft class views
Airspace use metrics by ARTCC/day
Distance and excess distance
Time
VOR Mon usage for 16 representative days based on filed flight plans

20. Base of Aircraft Data (BADA)
Data in Directory \\CYCLOPS\Public\Data\BADA
Provides performance information for 318 aircraft types
Current version 3.12 (previous versions are also available)
User Manual contains calculations and file descriptions
Use Notepad or other text editor to open files
4 Aircraft specific file types
.apf – Airline Procedures File – contains recommended speed procedures for climb, cruise, and descent conditions (6.5)
.opf – Operations Performance File – contains performance parameters for aircraft (6.4)
.ptd – Performance Table Data - contains detailed climb and descent data (6.7)
.ptf – Performance Table File – contains cruise, climb and descent data (6.6)
3 synonym files
Cross references of aircraft type to file name
Section 6.3 of User Guide describes layout
1 global parameter file (6.8)

21. Flight Schedule Data System (FSDS)
Data in Directory \\CYCLOPS\Public\Data\FSDS
Individual flight schedule information and summaries of all domestic and international flights by date and O-D pair
Data from
Key fields are:
arrival/departure airport
equipment type
statute miles
schedule flight time
frequency of flights
Updates include the current month plus next five months of schedule data

22. Internet Performance Management and Analysis Capability (iPMAC)
Data in Directory \\CYCLOPS\Public\Data\iPMAC\
An internet-based reporting tool using SAP Business Objects (BO) Web Intelligence XI - a business intelligence tool
Collects and applies data from multiple disparate data sources to provide an analytical front end to quickly make requested views available to a wide range of users
Currently have data from 2000 thru 2013 (over 200M records)
The data provide the basis of comparison of operational performance for “good” (i.e., 20th percentile), “bad” (i.e., 80th percentile) and “average” outcomes at O-D pair and airport level
Helps isolate trends over multiple years/months for user-specified groupings
Reports include: Taxi-In, Taxi-Out, Airborne Metrics (Estimated Time En Route, Airborne Time), Block Time (actual and scheduled), departure/arrival info, weather info

23. iPMAC (Cont.)

24. Oceanic Data in Directory \\CYCLOPS\Public\Data\Oceanic Data
Includes following data sets
Historical CPDLC data for oceanic flights (through ZAN, ZNY, ZOA Centers) for 16 days in 2011
Includes records for ACARS, ADSA, and CPDLC messages
AwSIM experiment has 6 days of 2014 data (September 28 – October 4) from ASDI and ADS-B target messages
Used to analyze changes and progress towards optimized flight profiles, via the following statistics:
Acceptance of altitude change requests
Average lag time between request and acceptance
Reason for denial (for altitude request, speed request etc.)
Trend of total # of requests by Center/region/carrier
Trend of total # of denials by Center/region/carrier
Not a mature capability at this time, however, provides an initial starting point for internal IP&A understanding of oceanic flights

25. New Metrics/Oracle Databases
List of Available Tables in Directory \\CYCLOPS\Public\Data\ORACLE_SQL\
Contains Numerous Data Sets
Enhanced Traffic Management System (ETMS)
Same data as ASDI (ASD feed to industry) that is used by many commercial vendors
Sector boundary crossing files and facility boundary crossing files have proved to be useful for analyzing airspace transformations for several acquisition programs.
Core data tables includes equivalent: Arrival messages (az), departure messages (dz), target messages (tz), flight plans (fz), boundary crossing. Sample daily table names below:
AIRLINE_
BLOCK_ALT_
BNDXING_
CANCEL_
CONTROL_
FLIGHT_
MERGED_FLIGHT_
POSITION_
ROUTE_
TIME_
TZ_
See ETMS data dictionary for table/field descriptions in \\CYCLOPS\Public\Data\ETMS
Access by “Select a,b,c from in SQL Developer or Oracle tool

26. New Metrics/Oracle Databases (Cont.)
Circles Data
Provides distance and time metrics, e.g., excess distance/time based on a) 200 mile crossing point to 100 mile crossing and b) 100-mile crossing point to the 40-mile crossing point for airport arrivals
Raw version located
Consolidated version Located in Folder “Perf_Indicators”
Sample SQL: Select * from PERF_INDICATORS.CIRCLES_FLIGHT_SUMMARY_2008;
Contains distance and time flown compared to Great Circle for various distances from the Origin and Destination (e.g., D40 = distance flown from Departure to 40 nm great circle ring)
Excess distance is compared to Great-Circle – for achievable upper bound savings
TAER efficiency values provides useful airport performance insights
For example a low TAER could be due to
Holding within 100 miles of the airport
Offloading from one arrival fix to another within 100 miles
Deviating around weather
Vectoring or speed control for spacing

27. New Metrics/Oracle Databases (Cont.)
Terminal Area Efficiency Report (TAER)
Located in Folder “Perf_Indicators”
Sample SQL: Select * from PERF_INDICATORS.TAER2008;
Provides efficiency measure from 100 nm to Arrival
Takes into account arrival fix and runway orientation to estimate unimpeded flight time/Distance over final 100 nm
TAER = Excess time or distance
National Offload (NOP)
Located in Folder “Offload”
Contains many files that are similar to ETMS and CIRCLES data Some flight tracks are more dense than ETMS (i.e., less than one lat/long per minute)
Detailed track data also available through NOP website

28. New Metrics/Oracle Databases (Cont.)
FLIGHTSTATS/GATES
Located in folders Fltstats and Gates
Sample SQL: Select * from fltstats.gates; or Select * from gates.gate_data_all;
Contains arrival/departure times and gates for many airports/airlines at the flight level
9/2009 To 9/2011 in Fltstats and through 5/2013 in Gates
Note not all airports/airlines are complete – care is needed
Future Schedules
Many of the datasets generated by AJR are available
Airports
Latest Pareto curves used for NextGen scenarios are often found here
Airport description (including the NFDC) for most US & Major International

29. National Traffic Management Log NTML (Discoverer Tool)
Data in Directory \\CYCLOPS\Public\Data\NTML_Discoverer Relational database that captures details of the NAS, including:
Traffic Management Initiatives – GDPs and Ground Stops
APREQs (Approval Requests) – Outages
Deicing events – Advisories
Reference files located in:
\\CYCLOPS\Public\Data\NTML\latest NTML v5.04 docs \
Accessing the NTML data via the Oracle Discoverer tool
NTML data dictionary (v5.04)
Data entity relationship diagram (v5.04)
An older version of Java is required to use the Discoverer Tool (JRE 6u6), which can complicate gaining access

30. Operations Network (OPSNET)
Data in Directory \\CYCLOPS\Public\Data\OPSNET
Official source of NAS air traffic operations and delay data. Used to analyze the performance of the FAA's air traffic control facilities.
Operational Data Reporting Requirements Order JO F
Details provided in
Provides information about the reportable delays reported daily through FAA's Air Traffic Organization
Summary level XLS files for 77 ASPM airports by year and year/month from downloadable from
Includes the following airport breakdowns reported by cause of constraint or impacting condition by 5 output categories:
Weather
Equipment
Runway/taxiway
Volume
Other

31. OPSNET (Cont.)
Includes Air Traffic Activity Data System (ATADS) which collects and reports the following:
Summary level files by year and year/month ( ) available for the following:
Airport Operations: Reports IFR itinerant and VFR itinerant operations (arrivals and departures), and local operations at the airport as reported by Air Traffic Control Towers (ATCTs). It does not include overflights
Tower Operations: Reports IFR and VFR itinerant operations (arrivals and departures), IFR and VFR overflights, and local operations worked by the tower
TRACON Operations: Reports IFR and VFR itinerant operations and overflights worked by the TRACON
Center Aircraft Handled: Reports domestic and oceanic departures and overflights and total aircraft handled by ARTCCs and CERAPs Other files available through
Total Terminal Operations: Reports total operations worked by any facility based on the functions at the facility. If a facility has a tower and a TRACON present, the Total Terminal operations would be a sum of the Tower Operations and the TRACON Operations for that facility.
Facility Information: Provides information about each air traffic control facility, such as facility name and type, region, state, hours of operation, etc.

32. Performance Data and Analysis Reporting System (PDARS)
Directory for customized files: \\CYCLOPS\Public\Data\PDARs _BASE
Primary types of data available in PDARS include the following: flight information, sector configuration data, weather data, airspace, terrain and obstacles, and traffic flow management information
PDARS processes radar track data from ATC facilities ERAM, HOST, CARTS, STARS
Processed data is used to generate reports as well as display flight tracks in the Graphical Airspace Design Environment (GRADE) visualization tool
GRADE is available only on a PDARS ANA Machine
Sub-directories:
\ASDE-X: track data for ATL, CLT, EWR, JFK and MEM, and data on taxi times (departure taxi time from ramp to runway)
\PDARS help: version 3.6 desktop and online help files
\Holding: database for flights that held in airspace for more than 5 minutes from October 2008 to May 2014, summary for OEP airports, rollup OPSNET (load report, potential missing data, trend), documentation on holding derivation, and guidance
Data checker for missing and multiple files, and max number of reports
Reports on existing BWRSXLS files by facility and date for 2004, (partial)

33. PDARS (Cont.)
The Sector Activity Report is prepared specifically for the OR Group and provides several measures of aircraft operations in \\CYCLOPS\Public\Data\PDARS_SectorActivity
Reports are generated daily for each of the 20 ARTCCs with metrics for each en route sector by 15-minute time bins (data from early )
Key fields/metrics include the following: # of entries, exits, # of aircraft worked, maximum instantaneous count,# of transitions, # of potential look-ahead conflicts, aircraft minutes, and average sector flight time (i.e., event segment flight time)
Data is aggregated according to controller handoffs and allocated to sectors based on dynamic sector configurations (combined/de-combined configurations, not static definitions)
Reports directory:
PDARS ANA Machine (Drive E:\BWAutoReports\BWRSXLS) (see Illustration)
Daily reports
BFF: select files by facility for viewing and manipulating track data in GRADE
IFF: (Integrated File Format) an internal file type in ASCII (human-readable) format
Enables multi-day/multi-facility queries and is optimized for providing flight plans and tracks corresponding to each radar “hit” on the aircraft (contain latitude, longitude, time and other information)
Contains ASDE-X files for 27 airports
Intranet:
About 80+ types of reports for certain single/multi-days/facilities and specially requested by external users made available to us
Include reports for different facilities/categories
Flight counts, fix passing, runway data, sector statistics and metering, fix flows, area operations, holding reports, taxi info, diversions and reroutes, airport configuration and efficiency, traffic flows and instantaneous counts and many more
More information on PDARS can be found at

34. Traffic Management Initiative (TMI) Info
Data in Directory \\CYCLOPS\Public\Data\TMI
Database that captures key attributes of reported historical Ground Stop, Ground Delay Programs, and Airspace Flow Programs
All GDPs from 2001 through 2012
GDP Logs by facility from 2000 through 2007
All AFPs and Ground Stops from November 2007 through 2012
Data output from Performance Analysis System (PAS) Tool – Accessible through – username and password required
Selected data outputs in Directory \\CYCLOPS\Public\Data\NTML_TMI
Multiple files from 2009-present include all TMIs due to following reasons:
weather, volume, runway, equipment problems, other
Type of TMI, e.g., MIT, MINIT, APREQ, Ground Stop, SWAP, runway construction, etc.
Documentation:
Performance Analysis System (PAS) NTML Analysis Users Guide, Sept 29, 2014
NTML Data Dictionary and Entity Relationship Diagram
Part 5 – Traffic Management System – JO7210.3Y

35. Facility

36. Facility Service Equipment Profile (FSEP)
Data in Directory \\CYCLOPS\Public\Data\FSEP
FSEP is an inventory of the physical components of the NAS representing the entities that the FAA owns, maintains, or inspects
Serves as the starting point for developing Tech Ops field training, certification, cost accounting, and budgetary actions
Key fields include:
Facility Type/Name (reference the *FSEP Desk Guide)
Physical location identifier
Status (e.g., Test, Commissioned/Full Service, Partial Service, Temporarily Out-of-Service, Decommissioned, etc.)
Status date (prior to commissioning), Pre-commissioned date, Commissioned date, Decommissioned date
Restoration Codes
Facility Code/Class (reference the *FSEP Desk Guide)
NAPRS reportable
The *FSEP Desk Guide contains detailed information and attributes for the physical components of the NAS captured such as descriptions, status codes, facility codes, classes, etc.
*The FSEP Desk Guide can be found in \\CYCLOPS\Public\Data\FSEP\Documentation\ and at

37. Logistics

38. Logistics Inventory System (LIS)
Data in Directory \\CYCLOPS\Public\Data\LIS
Provides inventory management support to FAA organizations. It is hosted at the FAA Logistics Center (FAALC)
Functions include capturing demand history, current stock availability, and procurement cost of FAA inventory items, by National Stock Number (NSN)
LIS has over 100 tables, however, the ORLAB does not have a direct feed into LIS or access to all the tables
The LIS is being replaced by the Logistics Center Support System (LCSS)

39. LIS (Cont.)
Data in Directory \\CYCLOPS\Public\Data\LIS were obtained via Program Offices, in connection with IP&A Business case reviews
Provides illustrations of types of reports that can be generated by LIS
Key fields include:
12 Month Rotable Demand (12MO ROT): Rotable issue is a term used in logistics to indicate the issue of a serviceable item that has been categorized as Exchange and Repair (E&R) and for which an unserviceable item will be returned. 12-month rotable demand would be the number of issues of one item in a 12-month period.
Total On Hand (TOH): Total quantity of assets in inventory. Equals sum of Serviceable (SVC), Reparable (REP), Survey (SURV), Due-In Facility (DIF), Due-In Shops (DIS), Commercial Due-in Shops (CDIS), and Bin Inspection (BIN).
Category Code (CAT CD): 4=Expendable Assets stored FAALC; 6=E&R assets
Retail and Repair Costs
The example LIS report files
ASR-9 FY Inventory Levels 11 NSNs EP.xlsx, ASR-9 SLEP Phase 3 LIS History Report.xlsx, and FY-10 MODES Report w_WBS.xls
By looking at monthly ROT counts over several years of history along with repair costs and counts of items on hand in a serviceable or repairable state, an analyst can look for trends indicating if there is difficulty supporting an item

40. Supportability

41. NAS Performance Analysis System (NASPAS)
Data in Directory \\CYCLOPS\Public\Data\NASPAS
Reports performance measures related to full interruption of service outages for National Airspace Performance Reporting System (NAPRS) reportable facilities.
Analysts can access the system at their desktop computers with user name and password from TechOps
Performance measures include:
Adjusted availability = 100 * (Max Available Hours – (Total outage time – Total code 62 Time)) / Max Available Hours
Operational availability = 100 * (Max Available Hours – Total outage time) / Max Available Hours
Equipment & Service Availability = 100 * (Max Available Hours –Total Unscheduled Outage Time) / Max Available Hours
Average Number of Unscheduled Outages per Facility
Average Number of Scheduled Outages per Facility
Mean Time to Restore Unscheduled = Total Unscheduled Outage Time / Total number of unscheduled outages

42. NASPAS (Cont.)
Key filters are facility and/or FAC CODE, site (ident), cause code and date range
Output can be grouped by year, month by site, or other filter items
Directory \\CYCLOPS\Public\Data\NASPAS contains multiple files:
An example of a NASPAS report, MODE-S Average Unscheduled Outages.xlsx
Shows the average yearly counts of unscheduled outages for MODE-S facilities between years 2008 and 2012, inclusive, were roughly constant, ranging from 138 in 2008 to 132 in 2010, with 135 in 2012
Documentation:
NASPASMetrics.ppt: describes NASPAS performance metrics
NAPRS Desk Guide: describes reporting requirements of each NAS Facility for service interruptions, e.g., Reduced Equipment (FE) and Full Service (FS)
NASPASBackground.doc: listing cause codes, including supplemental cause codes and NASPAS reportable facilities
NASPAS 6040 Report Types.doc: descriptions of each of the 6 report types

43. Remote Monitoring and Logging System (RMLS)
Data in Directory \\CYCLOPS\Public\Data\RMLS
Is the primary tool used by the FAA to maintain NAS equipment that provides communications, automation, navigation and surveillance data and services
It provides near real-time status and maintenance information to Technical Operations (Tech Ops) personnel to perform the NAS maintenance activities
Is a unified, automated technical and administrative support tool used to facilitate the following: logging, certification, periodic maintenance and scheduling, report generation, facility service and equipment profiles, maintenance operations, administrative functions, and remote maintenance monitoring functions
The OR Group uses this data set extensively during reviews of programs that have Tech Refresh or SLEP components

44. RMLS (Cont.)
The ORLAB does not have a direct feed into the RMLS. However, TechOps has recently given the OR Group access to four RMLS tables: FSEP, LOG, WF_FACILITYSERVICE, LOG_COMMENTS
Working to automate download and updating of the table information to the ORLAB
Key fields are: facility type, outage start and end times, ident, e.g., ANCA, cause code, and comments
Extracts of 1000 records each from these tables are listed under “Directory Structure” below. Analysts can access subsets of the RMLS fields limited to 5000 records at their desktop computers using the following urls:
The latter allows search by cause code; the former allows search by type of log, e.g., preventive (LPM), corrective (LCM), or certification (LCE)
Both permit specification of interrupt type, e.g., Full (FL), or Reduced System/Equipment (RE); along with facility

45. Safety

46. Aviation Safety Information Analysis and Sharing (ASIAS)
Data in Directory \\CYCLOPS\Public\Data\ASIAS\
Sub-directory \Docs:
Data Dictionary for AIDS, ASRS, NMACS, NTSB safety recommendations, and Runway Incursions
Sample reports:
UAS
Contains information on sponsor, event date, location, time, type (incident or accident) aircraft info, initial report description
AIDS
Contains report number, event date, time, location, type, aircraft damage, flight phase, aircraft info, operator, flight conduct code, fatalities and injuries, certificate type, flight hours, etc.
NMACS
Contains report number, information on the event date, time, location, evaluation, aircraft info, phase of flight, airlines, aviation type, flight rule, etc.

47. ASIAS (Cont.) URL: www.asias.faa.gov Primary Databases:
System that enables users to search safety data in multiple databases and display it in preferred formats
Primary Databases:
FAA Accident and Incident Data System (AIDS)
Contains incident data for all categories of civil aviation available since 1978, from multiple sources
Full narratives are available for incidents that took place on or after January 1995
Separate report is issued for each aircraft involved in an incident
Data can be searched by a phrase in narrative (incident description), event number, date, location, flight conduct, flight phase, operator/airline, aircraft, etc.
Aviation Safety Reporting System (ASRS)
Voluntary and confidential reporting system that helps to identify deficiencies and discrepancies in the NAS and enhance the basis for human factors research and recommendations for future operations; reported data is subjective and its accuracy is not verified but effective for identifying hazards, accident precursors and safety issues for further analysis; data is available since 1988

48. ASIAS (Cont.) Primary Databases (Cont.):
Bureau of Transportation Statistics
Contains traffic and capacity statistics on individual Air Carrier operations
FAA Runway Safety Office - Runway Incursions (RWS)
Contains only surface events at airports with ATCT
RW incursions are classified by severity of an event
In 2008 the FAA adopted ICAO definitions for RW incursions and their severity (accident, A, B, C, D, E)
FAA UAS Accident and Incident Preliminary Reports
Contains preliminary reports of UAS (Unmanned Aircraft System) accidents and incidents
World Aircraft Accident Summary (WAAS) Subset (WAAS-SUB)
Data is available since 1990, gathered from multiple sources (including unofficial), thus might be incomplete/inaccurate
Provides brief details of all known major operational accidents to jet and turboprop aircraft, helicopters, and the larger piston-engine types worldwide
The subset of data purchased by the FAA contains data and descriptive information about all known fatal airline accidents with passenger fatalities for the last ten years

49. National Transportation Safety Board (NTSB) Data
Data in Directory \\CYCLOPS\Public\Data\NTSB
Contains a few snapshots of the complete Access database and some reference PDFs
The NTSB aviation accident database contains detailed information on the facts, causes, and factors of aviation accidents and incidents
For most purposes, one can ignore the incidents
To access the current data, go to:
Click on ‘Downloadable datasets’
Here you may view helpful PDFs regarding coding or the table relationship diagram
‘Access’ > ‘avall.zip’ to download an Access file with the most recent data

50. NTSB Data (Cont.)
A change in the coding occurred in 2008, requiring knowledge of the Enhanced Accident Data Management System (eADMS) and the pre-eADMS
Pre-eADMS:
see codman.pdf and the table ‘eADMSPUB_DataDictionary’ for coding descriptions
concerned mainly with the codes in ‘seq_of_events’/modifier_code
eADMS:
see the table ‘eADMSPUB_DataDictionary’ for coding descriptions
concerned mainly with the codes in ‘Findings’/finding_code
Used in analysis of all acquisition programs that are analyzing the potential reduction in accidents and fatalities as part of their business case

51. Runway Incursions Data in Directory \\CYCLOPS\Public\Data\RWI\
Runway Incidents data is provided by Office of Accident Investigation and Prevention ( AVP-210); updates are available as provided by AVP-210
The definition of the RW incursions (C and D type) changed in 2007, hence old and new data is split into two files for data comparability:
Jan 1997 to Sep 2007 and Oct 2007 to current
Data files contain the following:
Runway incursions by type and category (A-D), and incidents
Includes narratives for each reported event
More fields can be requested if more details needed
Primary Documents include:
Hot Spot descriptions, e.g., SW_hotspot_02May2013.pdf
ASAP and FOQA Implementation Plan
Prevention of Runway Incursions Briefing
Runway Safety Best Practices
Currently provided data fields:
All available fields are described in Runway Excursion Metadata.pdf located in the same directory as the data files
Runway hot spots (problem areas at airports that presents increased risk during surface operations)

52. Weather

53. Surface Weather Observations
Data in Directory \\CYCLOPS\Public\Data\Weather Data\NCDC
DATSAV3 format through 2008 updated with the Integrated Surface Database (ISD)
OR Group data set has surface weather observations at over 750 airports located worldwide
Key data fields include: winds, ceiling, visibility, thunderstorms, frozen precipitation
Computed fields such as thunderstorm duration, visual, marginal and instrument meteorological weather condition designations
Data from January 2000 through September 2014, typically updated biannually in the lab
Data for up to 20,000 airports is available via ftp and can be downloaded on a case-by-case basis as needed

54. Weather Impact Traffic Index (WITI)
Data in Directory \\CYCLOPS\Public\Data\WITI
WITI is a measure of weather’s impact on NAS traffic, for generating metrics reflecting the impact of factors such as inclement weather and traffic demand
Contains historical data from both terminal/airport (T-WITI) and En Route (E-WITI)
Terminal/Airport WITI
Several attributes such as: WITI normalizing coefficient, identifies if the data is from METAR (code 99) actual WITI or a Terminal Aerodome Forecast (TAF)
WITI Values include: En Route convective, Local convective, Wind , Snow and other winter precipitation, IMC, Queuing Delay, Ripple Effect unfavorable RWY configuration
En Route (daily and hourly)
Values for O-D pairs to/from the 34 OEP airports
Attributes: YR, MON, DAY, HR, Departure, Arrival, Number of departures per Hour, NCWD Score, E-WITI hourly value

55. Resources

56. Aircraft Registry Data in Directory \\CYCLOPS\Public\Data\Registry
The Aircraft Registration Database, which is maintained by the FAA Civil Aviation Registry, includes information on more than 350,000 registered US aircraft
Includes detailed aircraft information that includes manufactured year, aircraft weight, airworthiness classification code, and so forth
FAA aircraft registration information may be searched by: N-number, serial number, name of registered owner, make/model, state and county, territory and country
Searches may also be made for N-number availability, engine reference information, aircraft dealer names

57. Documents Air Traffic Data in Directory \\CYCLOPS\Public\Data\ATC_Docs
Aeronautical Information Manual – basic flight information and ATC procedures for use in the NAS
ATC – air traffic control phraseology and phrases
Pilot Controller Glossary
IFR Operations in the NAS
TFM-M documents accessible through
Selected documents saved to \\CYCLOPS\Public\Data\ATC_Docs
Interface Control Documents (ICD) – CTOP, TFMS-FSM, TFMS-ASDI and TFM Data to Industry
Aggregate Demand List (ADL) File Specifications

58. Documents (Cont.) Reports in Directory \\CYCLOPS\Public\Data\AML_Docs
AML Supportability and Sustainability Reviews
Sustainment Review Packages for over 65 Facility Types
Sustainment Reviews will recommend if a Supportability Review is required
Overall System Health Indicators reported as green, yellow, or red
Includes risk analysis plan, obsolescence assessment, sales data trends, demand data trends, etc.
Excellent source for understand supportability status of NAS facilities and AML risk mitigation plans

59. Documents (Cont.)
Optimization of Airspace and Procedures in the Metroplex (OAPM) Reports in Directory \\CYCLOPS\Public\Data\OAPM
OAPM is a systematic, integrated, and expedited approach for implementing PBN procedures and associated airspace changes at 8 Metroplexes
Includes Officially released documents for 8 Metroplexes: Atlanta, Charlotte, Cleveland, Houston, Northern Cal, North Texas, Southern Cal, Washington DC
Documents include: Status of Airspace Redesign Projects, Design Team Tech Reports, Noise Tech Reports, Study Team Final Reports
MITRE Releases - Reports in Directory \\CYCLOPS\Public\Data\Mitre_Docs
All 2014 released documents in areas such as:
Surface – Data Comm
Traffic Flow Management – Runway Simulator
Fleet and avionics implications for NextGen – Thread Analysis
Modeling NextGen Improvements – Inputs to Cost & Benefits Analysis for Terminal WP1
Validation of Performance Requirements
for Weather Information

60. Documents (Cont.) Friends and Partners in Aviation Weather (FPAW)
Briefs in Directory \\CYCLOPS\Public\Data\FPAW
Presentations from FAA and industry that covers a wide range of areas including:
GA Safety – Quantification of Benefits
HEMS – Thunderstorm Separation
CDM – Airport/Terminal Weather Operations
Turbulence – Volcanic Ash
NTSB Initiatives – Incorporation of Training of Weather Tools
Weather in the Cockpit – ATM/Weather Integration
National Severe Weather Playbook
A traffic management tool developed to give the ATCSCC, other FAA facilities, and customers a common product for various route scenarios.
For example, DFW East 1 shows all facilities impacted for airborne traffic and internal departures destined to DFW terminal via several routes

61. Documents (Cont.)
Post Implementation Reviews - Reports in Directory \\CYCLOPS\Public\Data\PIRS
Approved by JRC Process Improvement Division, AAP-200
All completed reports from 2007 through 2014 reflect post implementation state
Assessible through
Typically analysis done 6-18 months after deployment
Reports results address the following areas:
Business Results
Performance Measurement
Strategic Impact and Effectiveness
Benefits and Service Objectives
Lessons Learned documented in each report

62. Documents (Cont.) Staffing Related Documents
In Directory \\CYCLOPS\Public\Data\Staffing_work_plans
Key documents include:
TRB Special Report 301: Air Traffic Controller Staffing in the En Route Domain: A Review of the Federal Aviation Administration's Task Load Model
A Plan for the Future 10-Year Strategy for the Air Traffic Control Workforce 2014 – 2023 (i.e., Controller Workforce Plan)
2014 AVS Work Plan for NextGen
Air Traffic / Technical Operations Human Factors Strategic Research Plan Version 1.0

63. Documents (Cont.) Environmental Benefits Related Documents
In Directory \\CYCLOPS\Public\Data\Environmental
Technical Support Document: Technical Update of the Social Cost of Carbon for Regulatory Impact Analysis Under Executive Order – May 2013
Terminal Flight Data Manager (TFDM) Environmental Impact Assessment – MIT/Lincoln Labs (August 2014)
TIGER BENEFIT-COST ANALYSIS (BCA) RESOURCE GUIDE
Business Case for NextGen
THE IMPACT OF NATIONAL AIRSPACE SYSTEMS (NAS) MODERNIZATION ON AIRCRAFT EMISSIONS – 1998 (Operations Research Group)

64. Economic Factors
Data in Directory \\CYCLOPS\Public\Data\Economic_Factors
Annual update of key values that include:
Airline Direct Operating Costs (ADOC) by Aircraft Category
Passenger Value of Time (PVT) by Category (Personal, Business, All Purposes)
Aircraft Utilization and Capacity
Salaries for Federal employees, contractors, and Air Traffic Controllers
Value of Statistical Life
Inflation factors
Accessible through

65. National Airspace System Resources (NASR)
Data in Directory \\CYCLOPS\Public\Data\NASR
Central and official authority repository through National Flight Data Center (NFDC) of aeronautical information
56-day Subscription
Assorted aeronautical data
Adaptation (fixes, waypoints, ILS, SAA info)
Sector Design Analysis Tool (SDAT) directory that includes sector definitions and boundaries (through July 2010)
Can access several files through
Airspace fixes
Flight Procedures
Location Identifiers Search Tool

66. NASR (Cont.)
Layout data for the Legacy text formats are available as download for:
ARTCC Boundary Descriptions (ARB) and Layout Data for ARTCC Facilities (AFF)
ASOS/AWOS (AWOS)
Coded Departure Routes (CDRs) (CDR)
Enroute National Fix Program Significant Points (NATFIX)
Fix/Reporting Point/Waypoint (FIX)
Flight Service Stations (FSS)
High Altitude Redesign (HAR) Significant Points (HARFIX)
Holding Patterns (HPF)
Instrument Landing Systems (ILS/MLS) (ILS)
Location Identifiers (LID)
Navigation Aids (NAV)
Preferred Route / Tower Enroute Control (TEC) Routes (PFR)
Standard Terminal Arrival / Standard Instrument Departure (Complete Set) (STARDP)

67. Navaids and Radars
Data in Directory \\CYCLOPS\Public\Data\Navaids_Radars
ILS Master List is an Excel file that contains information by airport and runway end for nearly 900 NAS airports
Details of each runway end; includes the following:.
existence of CAT I/II/III and CAT IIIa/IIIb capability
associated ceiling/visibility minima
type of approach lighting, e.g, (MALSR, MALSF, ALSR)
runway length and width

68. Notice to Airmen (NOTAMs)
Data in Directory \\CYCLOPS\Public\Data\NOTAM_Stats
Summary counts by year/month from United States NOTAM Office (USNOF) for 2009 through 2014
Includes Domestic, International, FDC, and Military
Monthly counts filed with an aviation authority to alert aircraft pilots of any hazards en route or at a specific location
Currently coordinating with AIM office to get access to more detailed data sets
Document Notices to Airmen Domestic/International published every 28 days provides detailed information on airways, airport, facility, procedural, general, and international NOTAMs

69. Special Use Airspace (SUA)
Data in Directory \\CYCLOPS\Public\Data\SUA
FAA Order JO W – (February 16, 2014)
Specifies boundaries, designated altitudes, time of designation, controlling agency for each SUA
URL
assists the NAS users and the Air Traffic Controllers to integrate Order JO W stipulations
provides two tabbed pages, Text List and Graphic Map, which display the scheduling data for SUAs
Polygons integrated into AwSIM AvID GUI
adaptation files from NASR 56-day update XML format using data and AIR5 (SUA boundary information) in XML format
Converted into standard ASP format (have representative days for 2 years)

70. Illustrations

71. ASPM
Used by the FAA for system performance monitoring including airport efficiency, and for retrospective trend analysis and specific studies
Includes airport weather, runway configuration, and arrival and departure rates
FAACARRIER
FLTNO
DEP_LOCID
ARR_LOCID
OOOI
SCHOUTTM
ACTOUTTM
NOMTO
ACTTO
EDCTOFFSEC
DZTM
AZTM
ACTONTM
NOMTI
ACTTI
SCHINTM
ACTINTM
AAL
334
DEN
DFW Y
06:05
11.7 17 -1
06:23
08:48
08:44
6.7 9
08:55
08:53
06:01 14
06:16
08:40
08:37 10
08:47
05:56 19
08:45
08:42 6
335
ORD
17:40
17:50
11.6 16
18:07
19:10
6.3
19:20
19:16
19:00
19:17
20:25
20:31
17:37 35
18:12
19:21 4
19:25
378
06:15 11
06:27
09:32
09:29
6.1 15
09:35
09:44
06:12
09:30
09:41 13
06:26
09:22 5
09:27
LOCID
EFFDEP
EFFARR MC
CEILING
VISIBILITY
WINDANGLE
WINDSPEED
RWYCONF
DEPDEMAND
ARRDEMAND
ADR
AAR
DEN 1 V
10.00
140 9
16L, 16R, 17R | 8, 17R 19 29 2 3 28
170 11
FAACARRIER
FLTNO
DEP_LOCID
ARR_LOCID
ACTAIR
ACTBLOCK
FPETE
AZTM
ATN
834
DEN
SJC
143
170
134
08:38
148
165
138
09:01
TOL
169
187
06:15
174
189
166
06:23
145
161
140
08:32
132
127
09:40
158
172
155
06:13

72. ASQP NAS View - 19-20 Reporting Air Carriers to DOT
Worst performing days in 2007 – arrival delays  delay propagation, 29-37% of flights were late by over 30 minutes
Best performing days in 2007 –
4-5% of flights late by over 30 minutes

73. Facility Service Equipment Profile (FSEP)
Helps us view the attributes of equipment in the NAS, e.g., Swap dates for ARTS and STARS over the last 10 years; can
also help us view the equipment inventory and attributes of every NAS facility, e.g., DME, ILS, RCAG, ARTS, etc.

74. Internet Performance Monitoring Analysis Capability (iPMAC) Multi-year Taxi-out View
iPMAC currently has 13 years of historical operational performance flight data at the O-D pair level
iPMAC assesses historical operational performance at the O-D pair level from 2000 to present
JFK
Taxi Out By Year
From JFK to OEP35
In: 2007, 2009, 2011
From:
To:
ATL
BOS
BWI
CLE
CLT
CVG
DCA
DEN
DFW
DTW
EWR
FLL
HNL
IAD
IAH
LAS …
Weighted Average
2007
20th 19 23 20 21 24 18
50th 29 30 27 35 31 33 28 34
80th 49 48 43 55 53 51 52
45.8 54
48.6 38 44 39
Avg 36
35.5
31.6
39.8
33.6
38.3
37.8
33.9
40.3
36.1
33.5
32.5
31.2
38.5 37
Departures
2473
8279
1833
1610
2391
1657
3078
969
1427
1957
248
4951 26
4711
1373
4181
EDCT Flts
118
807 7 14 13 12 32 6 61 85 77 89
2009
N/A 25 45 47 41 46 40
34.2
32.4
33.7
33.8
30.9
34.5
37.6
36.8
27.1
32.6
22.6
29.1
37.1
30.7
32.2
2676
7940
1505
1339
3450
1706
4366
1052
728
1642 98
4084 5
4360
554
4133
271
888 3 72 66
2011 17
17.6
18.2 16 22
47.4
34.4
26.8
28.7
24.7
24.8
25.4
25.8
26.6
24.1
34.9
28.6
25.1
28.2
23.3
23.7
27.6
2464
5754
1189
1627
3401
1746
3310
729
854
1425
4736
2967
372
4266 78
619 4 10 15 69
Illustrates variability in taxi-out times for departures from different airports in different years.
At a high level, the data indicates that taxi times are overall lower in 2011 than they were in 2007.

75. NAS Performance Analysis System (NASPAS) High Level View by Airport
Dec 11 thru Jan 12
Airport
Reliability
Op. Avail
E & S Avail
MTBO
MTBO Sched (hr)
MTBO Unsched (hr)
MTTR (hr)
Avg. Outages (hrs)
ALL
99.88
99.33
99.92
2,271
2,575
19,238
15.4
0.535
ATL
99.83
99.20
99.94
1,308
1,438
14,483
10.6
0.928
BOS
99.93
99.87
100.00
2,901
3,169
34,229
3.6
0.421
BWI
99.79
955
977
41,527
2.0
1.279
CLE
93.29
99.99
3,556
3,889
41,486
256.0
0.321
CLT
99.03
99.54
3,637
4,019
38,184
35.5
0.333
CSA
99.29
99.98
2,797
3,080
30,482
20.0
0.434
CVG
99.69
97.60
99.89
1,248
1,487
7,765
30.7
0.957
DCA
99.67
98.05
99.84
1,320
1,616
7,200
26.3
0.909
DEN
99.97
99.96
5,955
6,380
89,318
2.2
0.205
DFW
99.95
99.91
2,850
3,033
47,388
2.5
0.429
DTW
2,244
2,506
21,480
2.8
0.545
ESA
99.86
99.23
2,024
2,303
16,747
15.7
0.600
EWR
99.81
1,398
1,468
29,076
2.7
0.874
FLL
99.64
99.56
99.63
2,578
4,189
6,702
11.5
0.473
HNL
99.66
2,337
3,505
7,011
3.7
0.523
IAD
99.90
2,445
2,717
24,452
0.500
IAH
4,578
5,694
23,346
6.3
0.267
JFK
99.26
2,198
2,410
24,906
16.4
0.553
LAS
99.85
99.35
5,219
7,828
15,657
34.1
0.233
LAX
99.78
1,595
1,863
11,069
0.766
LGA
2,370
2,697
19,556
3.3
0.516
MCO
97.12
99.59
2,107
2,624
10,699
62.4
0.564
MDW
3,113
3,261
68,476
3.1
0.393
MEM
2,306
2,893
11,351
8.5
0.529
MIA
3,260
3,866
20,780
4.3
0.375
MSP
3,476
4,002
26,416
3.0
0.352
ORD
2,944
3,029
104,514
3.9
0.415
PDX
99.14
3,697
4,676
17,664
31.9
0.328
PHL
98.81
1,990
2,164
24,674
23.9
0.608
PHX
97.96
99.48
1,527
1,630
24,182
31.7
0.785
Total
99.27
2,283
2,585
19,513
16.7
0.532

76. National Climatic Data Center Surface Weather Observations
Used to capture different weather conditions by airport. Data processed from 2000 thru 2014.

77. National Traffic Management Log (NTML) Illustration 9/27/2011 –Performance Analysis System Tool

78. NTSB - Aviation Accidents
Provides data on accidents and incidents with contributing factors such as weather. Candidate accidents were identified based on expected capabilities from the program’s investment.

79. The Operations Network (OPSNET) Air Traffic Activity System (ATADS)
OPSNET Delays
ATADS Counts
ATADS Total Terminal Operations counts
OPSNET is the official FAA data source of air traffic delay and operations. The ATADS sub-system gives the activity reported for official facility classification purposes.

80. Performance Analysis System (PAS) of Traffic Management Initiatives (TMIs) Source: NTML
Outcome: This information helps us identify the TMIs by facility and phase-of-flight . These TMIs occur on a daily basis by utilizing this data supports analysis of programs such as CATMT, NWP, Data Comm.

81. PDARS – Sector Activity Reports
What is the average flight time through ZTL Sector 03?
Sample
Sector Activity
Report
Prototype

82. Count of Configuration
PDARS
Sample BWAutoReport
NTML Runway Configuration for Arrivals/Departures/Dual Config/WX
For USA From 04/01/2013 to 04/30/2013
Airport
DEN
Type
Arrival
Data
Configuration
Count of Configuration
Total Duration
Avg Duration
Max Duration
Min Duration
Percent Use
RWY34R/35L/35R 72
223:24:00
3:06:10
18:55:00
0:00:00
29.44%
RWY16L/16R/17R 54
169:22:00
3:08:11
11:49:00
22.32%
RWY35L/35R 11
101:38:00
9:14:22
23:46:00
0:03:00
13.39%
RWY07/35L/35R 30
80:09:00
2:40:18
10:02:00
10.56%
RWY26/35L/35R 13
33:20:00
2:33:51
5:50:00
0:01:00
4.39%
These sample reports are helpful in runway configuration usage analysis during various times and weather conditions

83. Remote Maintenance and Logging System (RMLS)
LOG ID
LEGACY LOG ID
FAC TYPE
FAC IDENT
FAC CODE
LOG TYPE
CODE
SUPP CODE
LOG STATUS
MAC
REG.
MODIFIED DATE TIME
INTERRUPT CONDITION
DUR.
START DATE TIME
END DATE TIME
ZMA
RCAG
EYW
CA0J
LIR 65 9 C 4 SO
5/4/ :20:45 RS 62
5/4/ :17:00
5/4/ :19:00
ZMA
LCM 58
5/4/ :06:28 55
5/4/ :15:00
5/4/ :10:00
ZTL
DHN
5/4/ :53:25 20
5/4/ :30:00
5/4/ :50:00
ZMA
5/4/ :06:29
5/4/ :50:00
ZOB
QTA GL
5/5/ :33:14
134
5/5/2009 2:06:00
5/5/2009 4:20:00
ZBW
ACKA
CA0C A NE
5/5/ :08:57
175
5/5/ :35:00
5/5/ :30:00
ZOB
5/7/ :34:02 97
5/5/ :30:00
5/5/ :07:00
ZOB
5/7/ :34:03
5/5/ :10:00
ZLC
CDC NM
5/7/ :21:01
311
5/7/2009 0:32:00
5/7/2009 5:43:00
ZLC
CDCA
5/7/ :21:03
ZLC
CDCB
5/7/ :21:04
ZSE
YKM 60
5/7/ :20:59 FL
266
5/7/ :00:00
5/7/ :26:00
ZDC
BKT EA
5/11/ :17:04 14
5/11/ :00:00
5/11/ :14:00
ZSE
5/11/ :01:16
155
5/11/ :05:00
5/11/ :40:00
ZID
TTH 80
5/30/2009 6:44:59
160
5/12/ :35:00
5/12/ :15:00
ZDV
QGH
5/13/ :10:59
1306
5/12/ :22:00
5/13/ :08:09
ZBW
IGN P
5/13/ :19:53
300
5/13/ :00:00
5/13/ :00:00
RMLS is used to assess the supportability of NAS facilities

84. NAS Equipment & Related Delays: Search Results
TechNet
  #  ID
TYPE
SVCArea
OPSDATE
EQUIP. DELAYS REPOR.
EQUIP. DELAYS ACCEP.
OTHER EQUIP. REPOR.
OTHER EQUIP. ACCEP.
VALIDATED DELAYS
SERVICE
141
VWH
LOC
ESA
3/24/2000 2
Navigation
142
GLC
2/29/2000 1
143
MDW
CSA
2/24/2000 33
144
RLE
WSA
2/9/2000
145
SNA
146
AAZ
1/18/2000 17
147
IAD
1/12/2000 3
148
PHL
9/21/1999 11
149
DFW
9/13/1999 25
150
STL
6/24/1999 6
151
CVG
5/17/1999
152
SIC 15
153
5/14/1999 13
154
DTW
2/22/1999
155
URD
2/4/1999 16
156
HPI
12/23/1998
Other
157
HZK
12/10/1998
158
MXT
10/30/1998 5
159
GHI
8/4/1998 19
160
PKN
7/24/1998
161
IAH
6/6/1998 8
162
5/18/1998 12
163
AQD
4/2/1998
164
DPP
165
FJU
2/18/1998
166
JYV
12/19/1997
167
168
12/1/1997 4
169
11/22/1997
170
UYO
11/18/1997 9
171
10/30/1997 26
172
10/29/1997
173
10/13/1997 72
174
10/12/1997
Totals
3249
3257 41 55
3312
NAS Equipment & Related Delays: Search Results #  ID
TYPE
SVCArea
OPSDATE
EQUIP. DELAYS REPOR.
EQUIP. DELAYS ACCEP.
OTHER EQUIP. REPOR.
OTHER EQUIP. ACCEP.
VALIDATED DELAYS
SERVICE 1
ZBW
VSCS
ESA
3/20/2008
100
Communication 2
ZAU
CSA
8/17/2006 9 3
ZHU
8/10/2006 25 4
ZDC
8/3/2006 5
8/16/2005 6
ZNY
9/23/2004 7
9/22/2004 8
ZOA
WSA
9/20/2004
ZLA
9/15/2004 20 10
9/14/2004
392 11
7/26/2004 12
6/19/2004 13
9/11/2003 14
ZME
6/28/2002 27 15
ZID
4/7/2002 23 16
ZOB
6/14/2001 55 17
2/21/2000 18
1/16/2000 30 19
11/29/1999 21
ZMP
11/25/1999 22
11/5/1999
ZMA
7/8/1999 63 24
1/31/1999 52
Totals
857 #  ID
TYPE
SVCArea
OPSDATE
EQUIP. DELAYS REPOR.
EQUIP. DELAYS ACCEP.
OTHER EQUIP. REPOR.
OTHER EQUIP. ACCEP.
VALIDATED DELAYS
SERVICE 1
ATL
ASDE
ESA
6/1/2009 17
Surveillance 2
12/26/2008
503 3
11/13/2008 64 4
LAS
WSA
10/16/2008 94 5
1/7/2007 35 6
8/30/2006 14 7
8/29/2006
178 8
8/28/2006 9
MA2
CSA
3/8/2002 16 10
LAXS
4/15/1999 11
BOS
4/15/1998 87 12
Totals
1025
Surveillance
Communication
Navigation
Remarks:  On 8/29/06 at 10:17 AM EDT the Airport Surface Detection Equipment (ASDE)-X Surface Movement Radar (SMR) #1 providing coverage to the south side of ATL failed. Triple approaches could no longer be performed without the ASDE-X/Runway Safety Logic System and the Airport Acceptance Rate (AAR) was reduced by 30%.
Remarks:   Operations transitioned to Rwy 9 from Rwy 27, and the Localizer (LOC) failed to come on line. Initial investigation found no malfunction with equipment. Operations again tried to transition to Rwy 9 and was successful. Further investigation determined the Rwy 09 Localizer (LOC) failed due to interlock problems in the airport loop cable. A multiplex circuit card was replaced in the Fiber Optics Transmission System (FOTS) to restore interlock and monitoring capabilities
Remarks:   At 2:07 PM EDT, communication on several enroute frequencies and Ground-to-Ground lines failed at New York (ZNY) Air Route Traffic Control Center (ARTCC). The Voice Switching and Control System (VSCS) was reconfigured to switch B to restore service at 2:30 PM. The software was reloaded and a complete restart of the control system was completed during the night.

85. Terminal Area Forecast (TAF)
Gives projected airport enplanements and operations through 2030

86. Traffic Flow Management System (TFMS)
Multiple Applications: provides basis for capturing arrival and departure fix volume, assessment of flight trajectories and flight amendments

87. Weather Impact Traffic Index (En-Route WITI)
E-WITI = Scheduled flight frequency on flows X amount of convective Wx
Loop through all major airports. For each airport, go through all its flows
Hourly E-WITI for a Flow = (∑ of NCWD reports in hexagonal bins along the flow) * traffic frequency on the flow during this hour
NCWD 4x4 Km reporting points at 5-min freq
Impact is assigned in proportion to a hexagon’s distance from the airport
Aggregate across all major NAS airports
Close-up view
July 4, 2006
4 pm EDT