Awards for “ATAC”
25 awards on this page · sorted by amount · page 33
| Award ID | Recipient | Awarding agency | Amount | Start | End | NAICS | Description |
|---|---|---|---|---|---|---|---|
| 80NSSC18P1920 | ATAC | National Aeronautics and Space Administration | $124.96K | 2018-07-27 | 2019-02-15 | 541715 | THE PROPOSED SBIR DEVELOPS A NEAR REAL-TIME AIRCRAFT NOISE MONITORING TOOL CALLED UAM NOISE INTEGRATION TOOL (UNIT) FOR E-VTOL AIRCRAFT THAT IS CAPABLE OF BEING INTEGRATED WITHIN THE REAL-TIME NASA ATM-X TESTBED ENVIRONMENT. IT IS HIGHLY RELEVANT TO THE NASA 2018 SBIR FOCUS AREA 20, SUBTOPIC A3.01 ADVANCED AIR TRAFFIC MANAGEMENT SYSTEMS CONCEPTS, SINCE IT ADDRESSES THE AREA OF ACHIEVING HIGH EFFICIENCY IN USING AIRCRAFT, AIRPORTS, ENROUTE AND TERMINAL AIRSPACE RESOURCES, WHILE ACCOMMODATING AN INCREASING VARIETY OF MISSIONS AND VEHICLE TYPES, INCLUDING WIDE-SPREAD INTEGRATION OF UAS AND ODM OPERATIONS BECAUSE NOISE CAN BE A GREATLY LIMITING FACTOR IN DETERMINING EFFICIENCIES, DUE TO THE EXPECTED HIGH FREQUENCY OF ODM OPERATIONS AND THE POTENTIAL NOISE IMPACTS ON COMMUNITIES. SPECIFICALLY, IT IS RELEVANT TO THE RFP AREA OF CONCEPTS OF EMERGENT RISKS BECAUSE INCREASED NOISE IMPACTS ARE A RISK TO THE SYSTEM, AND PUBLIC BACKLASH TO ODM AND E-VTOL NOISE IMPACTS CAN THWART THE CONCEPT AND TECHNOLOGY BEFORE IT LAUNCHES. THERE ARE THREE PARTS TO THE INNOVATION: (1) THE ABILITY TO CALCULATE IN NEAR REAL-TIME THE NOISE IMPACTS AT ANY LOCATION USING BOTH REAL-TIME AND PREDICTED FLIGHT OPERATIONS AND TRAJECTORIES, (2) THE ABILITY TO MODEL THE NOISE OF CONCEPTUAL E-VTOL AIRCRAFT, AND (3) THE DEVELOPMENT OF PEOPLE-FOCUSED NOISE METRICS THAT CONSIDER THE MOVEMENT OF PEOPLE THROUGHOUT THE DAY. NASA S PARIMAL KOPARDEKAR, HAS STATED ON MORE THAN ONE OCCASION THAT NOISE IS ONE OF THE TOP THREE CHALLENGES FOR UAM. UNIT PROVIDES NOISE RESULTS WITHIN A REAL-TIME ENVIRONMENT TO BE USED AS INPUT PARAMETERS INTO FLIGHT PATH OPTIMIZATION ALGORITHMS TO MINIMIZE POPULATION NOISE IMPACTS, THEREBY INCREASING PUBLIC ACCEPTANCE OF UAM. THIS CAPABILITY IS IMPORTANT BECAUSE COMMUNITIES ARE HIGHLY SENSITIVE TO NOISE AND HAVE BLOCKED CHANGE WHEN THEY BELIEVE THEIR RIGHTS HAVE BEEN INADEQUATELY ADDRESSED |
| NNX16CA45P | ATAC | National Aeronautics and Space Administration | $124.95K | 2016-06-10 | 2016-12-09 | 541712 | IGF::OT::IGF TODAY, TRAFFIC MANAGERS LARGELY RELY ON THEIR INTUITION FOR MAKING TRAFFIC MANAGEMENT INITIATIVE (TMI) DECISIONS DUE TO LACK OF DECISION AIDS. AS A RESULT TMIS ARE OFTEN INEFFICIENT AND THERE IS A LOT OF VARIABILITY IN THEIR APPLICATION ACROSS SIMILAR SITUATIONS. NASA'S 'SIMILAR DAYS IN THE NATIONAL AIRSPACE SYSTEM (NAS)' RESEARCH ADDRESSES THIS ISSUE, BUT, THE RESEARCH TOOLS PRODUCE NOT A SINGLE RECOMMENDED TMI CHOICE BUT AN ARRAY OF CHOICES, WITH THE FINAL DECISION AGAIN LEFT TO THE MANAGER'S INTUITION. THE PROPOSED SBIR RESEARCH PROVIDES A CAPABILITY FOR DOWN-SELECTING TO THE MOST EFFECTIVE TMI CHOICE BY DEVELOPING A WHAT-IF ANALYSIS FUNCTIONALITY FOR EXPLORING MULTIPLE TMI OPTIONS BY REALISTICALLY SIMULATING NAS-WIDE OPERATIONS UNDER THE INFLUENCE OF INDIVIDUAL TMI OPTIONS. THIS WHAT-IF ANALYSIS CAPABILITY ACHIEVES ACCURATE MODELING OF NAS TRAFFIC FLOWS UNDER UNCERTAINTY BY CREATIVELY INTEGRATING TWO INNOVATIONS. THE FIRST IS A TRAFFIC FLOW MODELING FRAMEWORK FOR ENABLING FAST AND ACCURATE SIMULATION OF INDIVIDUAL AIRCRAFT TRANSITS THROUGH THE NAS NETWORK. THIS TRAFFIC FLOW MODELING FRAMEWORK, WHICH WE CALL THE HYBRID TRAFFIC FLOW MODEL COMBINES DESIRABLE FEATURES OF TRAJECTORY-BASED MODELS WITH AGGREGATE TRAFFIC FLOW MODELS TO ALLOW FAST, NEAR REAL-TIME NAS PERFORMANCE EVALUATION UNDER MULTIPLE CANDIDATE TMI OPTIONS. EACH OPTION IS EVALUATED UNDER MULTIPLE SCENARIOS TO CAPTURE THE WHOLE RANGE OF POSSIBILITIES AS PER THE UNDERLYING REAL WORLD UNCERTAINTIES,. THE SECOND IS BAYESIAN NETWORKS FOR MODELING VARIATIONS CAUSED BY UNDERLYING NAS UNCERTAINTY FACTORS WITH EXPLICIT ENCODING OF HUMAN REASONING BEHIND MULTIPLE INFLUENCING DECISIONS (E.G., CENTER MIT RESTRICTION IMPOSITIONS, AIRLINE CANCELLATIONS), THIS ENABLES REALISTIC TRAFFIC DEMAND AND CAPACITY FORECASTING FOR FEEDING THE TRAFFIC FLOW MODEL-BASED TFM EVALUATIONS. |
| 80NSSC21C0095 | ATAC | National Aeronautics and Space Administration | $124.94K | 2021-05-19 | 2021-11-19 | 541715 | NAS METERING IMPACT PREDICTION AND COLLABORATIVE SCHEDULING SYSTEM |
| 80NSSC18P1928 | ATAC | National Aeronautics and Space Administration | $124.93K | 2018-07-27 | 2019-02-15 | 541715 | ARTIFICIAL INTELLIGENCE (AI) ALGORITHMS, WHICH ARE THE HEART OF EMERGING AVIATION AUTONOMOUS SYSTEMS AND AUTONOMY TECHNOLOGIES, ARE GENERALLY PERCEIVED AS BLACK BOXES WHOSE DECISIONS ARE A RESULT OF COMPLEX RULES LEARNED ON-THE-FLY. UNLESS THE DECISIONS ARE EXPLAINED IN A HUMAN UNDERSTANDABLE FORM, THE HUMAN END-USERS ARE LESS LIKELY TO ACCEPT THEM, AND IN THE CASE OF AVIATION APPLICATIONS, CERTIFICATION PERSONNEL ARE LESS LIKELY TO CLEAR SYSTEMS WITH INCREASING LEVELS OF AUTONOMY FOR FIELD OPERATION. EXPLAINABLE AI (XAI) ARE AI ALGORITHMS WHOSE ACTIONS CAN BE EASILY UNDERSTOOD BY HUMANS. THIS SBIR DEVELOPS EXPLAINED PROCESS AND LOGIC OF ARTIFICIAL INTELLIGENCE DECISIONS (EXPLAIND), WHICH IS A PROTOTYPE TOOL FOR VERIFICATION AND VALIDATION OF AI-BASED AVIATION SYSTEMS. THE SBIR DEVELOPS AN INNOVATIVE TECHNIQUE CALLED LOCAL INTERPRETABLE MODEL-AGNOSTIC EXPLANATION (LIME) FOR MAKING THE LEARNING IN AI ALGORITHMS MORE EXPLAINABLE TO HUMAN USERS. LIME GENERATES AN EXPLANATION OF AN AI ALGORITHM S DECISIONS BY APPROXIMATING THE UNDERLYING MODEL IN THE VICINITY OF A PREDICTION BY AN INTERPRETABLE ONE. WE APPLY LIME TO A NASA-DEVELOPED AIRCRAFT TRAJECTORY ANOMALY DETECTION AI ALGORITHM (MKAD) TO PROVIDE A PROOF-OF-CONCEPT. EXPLAIND REPRESENTS AN IMPORTANT STEP TOWARDS USER ACCEPTANCE AND CERTIFICATION OF MULTIPLE AI BASED DECISION SUPPORT TOOLS (DSTS) AND FLIGHT-DECK CAPABILITIES PLANNED TO BE DEVELOPED UNDER NASA S SYSTEM WIDE SAFETY AND ATM-EXPLORATION PROJECTS. EXPLAIND ALSO BENEFITS NASA S PLANNED HUMAN-IN-THE-LOOP (HITL) SIMULATIONS OF MACHINE LEARNING (ML) ALGORITHMS USING THE SMARTNAS TESTBED BY PROVIDING TECHNIQUES FOR MAKING THE ALGORITHM S DECISIONS MORE UNDERSTANDABLE TO HITL PARTICIPANTS. MOREOVER, WITH NEW EUROPEAN UNION REGULATIONS SOON REQUIRING THAT ANY DECISION MADE BY A MACHINE BE READILY EXPLAINABLE, THE EXPLAIND APPROACH IS ALSO RELEVANT TO MULTIPLE NON-AVIATION FIELDS SUCH AS MEDICAL DIAGNOSIS, FINANCIAL SYSTEMS, COMPUTER LAW, AND AUTONOMOUS CARS. |
| NNX15CA55P | ATAC | National Aeronautics and Space Administration | $124.91K | 2015-06-17 | 2015-12-17 | 541712 | IGF::OT::IGF NASA HAS THE AIM OF RESEARCHING AVIATION REAL-TIME SYSTEM-WIDE SAFETY ASSURANCE (RSSA) WITH A FOCUS ON THE DEVELOPMENT OF PROGNOSTIC DECISION SUPPORT TOOLS AS ONE OF ITS NEW AERONAUTICS RESEARCH PILLARS. THE VISION OF RSSA IS TO ACCELERATE THE DISCOVERY OF PREVIOUSLY UNKNOWN SAFETY THREATS IN REAL TIME AND ENABLE RAPID MITIGATION OF SAFETY RISKS THROUGH ANALYSIS OF MASSIVE AMOUNTS OF AVIATION DATA. OUR INNOVATION SUPPORTS THIS VISION BY DESIGNING A HYBRID ARCHITECTURE COMBINING TRADITIONAL DATABASE TECHNOLOGY AND REAL-TIME STREAMING ANALYTICS IN A BIG DATA ENVIRONMENT. THE INNOVATION INCLUDES THREE MAJOR COMPONENTS: A BATCH PROCESSING FRAMEWORK, TRADITIONAL DATABASES AND STREAMING ANALYTICS. IT ADDRESSES AT LEAST THREE MAJOR NEEDS WITHIN THE AVIATION SAFETY COMMUNITY. FIRST, THE INNOVATION SUPPORTS THE CREATION OF FUTURE DATA-DRIVEN SAFETY PROGNOSTIC DECISION SUPPORT TOOLS THAT MUST PULL DATA FROM HETEROGENEOUS DATA SOURCES AND SEAMLESSLY COMBINE THEM TO BE EFFECTIVE FOR NAS STAKEHOLDERS. SECOND, OUR INNOVATION OPENS UP THE POSSIBILITY TO PROVIDE REAL-TIME NAS PERFORMANCE ANALYTICS DESIRED BY KEY AVIATION STAKEHOLDERS. THIRD, OUR PROPOSED ARCHITECTURE PROVIDES A MECHANISM FOR SAFETY RISK ACCURACY EVALUATIONS. TO ACCOMPLISH THIS INNOVATION, WE HAVE THREE TECHNICAL OBJECTIVES AND RELATED WORK PLAN EFFORTS. THE FIRST OBJECTIVE IS THE DETERMINATION OF THE SYSTEM AND FUNCTIONAL REQUIREMENTS. WE IDENTIFY THE SYSTEM AND FUNCTIONAL REQUIREMENTS FROM AVIATION SAFETY STAKEHOLDERS FOR A SET OF USE CASES BY INVESTIGATING HOW THEY WOULD USE THE SYSTEM AND WHAT DATA PROCESSING FUNCTIONS THEY NEED TO SUPPORT THEIR DECISIONS. THE SECOND OBJECTIVE IS TO CREATE A BIG DATA TECHNOLOGY-DRIVEN ARCHITECTURE. HERE WE EXPLORE AND IDENTIFY THE BEST TECHNOLOGIES FOR THE COMPONENTS IN THE SYSTEM INCLUDING BIG DATA PROCESSING AND ARCHITECTURAL TECHNIQUES ADAPTED FOR AVIATION DATA APPLICATIONS. FINALLY, OUR THIRD OBJECTIVE IS THE DEVELOPMENT AND DEMONSTRATION OF A PROOF-OF-CONCEPT. |
| 80NSSC20C0532 | ATAC | National Aeronautics and Space Administration | $124.91K | 2020-08-31 | 2021-03-01 | 541715 | LOW-ALTITUDE WIND HAZARD ALERTING AND REROUTING SERVICE |
| NNX17CA18P | ATAC | National Aeronautics and Space Administration | $124.91K | 2017-06-09 | 2017-12-08 | 541712 | IGF::OT::IGF THIS SBIR RESEARCH DEVELOPS AN AUTOMATION TOOL IMPROVING TEMPORARY AND PERMANENT RUNWAY CLOSURE MANAGEMENT. THE MOVEMENT AREA CLOSURE PLANNER (MACP) PROVIDES AIRPORT STAKEHOLDER CAPABILITY TO IMPROVE DECISION PROCESSES AND DECISION OUTCOMES DURING SURFACE CLOSURE EVENTS BY DEVELOPING A WHAT-IF SIMULATION FUNCTIONALITY TO EXPLORE MULTIPLE OPERATIONAL DECISION CHOICES DURING SURFACE CLOSURE EVENTS. MACP ENSURES REALISTIC SIMULATION OF AIRPORT TRAFFIC OPERATIONS BY RELYING ON A HIGH-FIDELITY AIRPORT SIMULATOR WHICH HAS BEEN USED IN MULTIPLE HIGH-FIDELITY AIRPORT OPERATIONS ANALYSES FOR FAA AND AIRPORT OPERATIONAL IMPROVEMENT EVALUATION PROJECTS. THE KEY INNOVATION ADDED TO A HIGH-FIDELITY SIMULATOR IS A MACHINE LEARNING BASED PREDICTIVE ENGINE WHICH REALISTICALLY PROJECTS MULTIPLE PROBABLE FUTURE EVOLUTION TRAJECTORIES FOR KEY FACTORS INFLUENCING THE AIRPORT OPERATIONS UNDER SURFACE CLOSURE EVENTS (E.G., PREDICTED GATE PUSHBACK RATES, PREDICTED RUNWAY ARRIVAL AND DEPARTURE DEMANDS, PREDICTED DEPARTURE QUEUE LENGTHS, PREDICTED DE-ICE PAD QUEUE LENGTHS). RELIABLE WHAT-IF ANALYSIS IS ENABLED BY TAKING EACH OF THESE PROBABLE EVOLUTION TRAJECTORIES OF KEY VARIABLES AND KICKING OFF MULTIPLE AIRPORT TRAFFIC SIMULATIONS, EACH SIMULATING AIRPORT TRAFFIC UNDER ONE OF THESE PROBABLE SCENARIOS. ANOTHER VARIABLE INPUT FOR THE SIMULATIONS IS SURFACE CLOSURE OPERATIONAL DECISION PARAMETERS, E.G., START AND END TIMES FOR RUNWAY CLOSURE. MULTIPLE PROBABLE FUTURES ARE SIMULATED FOR EACH CHOICE OF SURFACE CLOSURE OPERATIONAL DECISION PARAMETER, THEREBY ENABLING US TO PREDICT NOT JUST ONE VALUE FOR KEY AIRPORT PERFORMANCE METRICS, BUT MULTIPLE PROBABLE VALUES EACH ASSOCIATED WITH ITS PROBABILITY OF OCCURRENCE. |
| 80NSSC21C0097 | ATAC | National Aeronautics and Space Administration | $124.91K | 2021-05-19 | 2021-11-19 | 541715 | GO-AROUND PREDICTION SERVICE |
| 80NSSC21C0096 | ATAC | National Aeronautics and Space Administration | $124.89K | 2021-05-19 | 2021-11-19 | 541715 | WEATHER GUIDANCE FOR UPPER CLASS E TRAFFIC MANAGEMENT |
| SPRMM116PPB76 | NOVA POWER SOLUTIONS, INC. | Department of Defense | $124.85K | 2015-11-12 | 2016-02-05 | 335311 | POWER SUPPLY,UPS |
| 0005 | COMTECH MOBILE DATACOM LLC | Department of Defense | $124.38K | 2015-08-19 | 2015-11-18 | 334220 | NSN 5895-01-606-0764, AVX-06-203 AIR TRANSCEIVER, SUPPORTS BFT-1 AVIATION. |
| W9124Q07P0367 | LTI DATACOMM, INC. | Department of Defense | $123.46K | 2007-09-13 | 2007-12-20 | 517310 | MICROWAVE RADIO |
| 0002 | COMTECH MOBILE DATACOM LLC | Department of Defense | $123.16K | 2014-07-15 | 2014-10-17 | 334220 | NSN 5895-01-606-0764 TERMINAL, SATELLITE, AVX-06-203 AIR XVCR FOR BFT-1 AVN. |
| 0002 | GENERAL DATACOMM, INC. | Department of Defense | $123.07K | 2009-06-01 | 2010-02-28 | 811213 | 9 MONTHS MAINTENANCE AND WARRANTY |
| SPE7M524P4281 | DATACON, INC. | Department of Defense | $123.03K | 2024-04-18 | 2024-10-07 | 334412 | 8510580427!CIRCUIT CARD ASSEMB |
| 0100 | COMTECH MOBILE DATACOM LLC | Department of Defense | $122.82K | 2008-06-23 | 2008-07-31 | 334220 | ENGINEER |
| 0181 | COMTECH MOBILE DATACOM LLC | Department of Defense | $122.74K | 2009-05-22 | 2009-08-17 | 334220 | SENIOR ENGINEER |
| 0006 | COMTECH MOBILE DATACOM LLC | Department of Defense | $122.68K | 2016-03-10 | 2016-07-15 | 334220 | NSN 5895-01-606-0764, AVX-06-203 AIR TRANSCEIVER, SUPPORTS BFT-1 AVIATION |
| HSBP1005F08326 | SBC DATACOMM INCORPORATED (4455) | Department of Homeland Security | $122.62K | 2005-09-16 | 2006-02-24 | 237130 | REPLACE LAN LINE CABLES |
| SPE7M125P2750 | DATACON, INC. | Department of Defense | $122.44K | 2025-01-07 | 2025-05-16 | 334412 | 8511110198!CIRCUIT CARD ASSEMB |
| HC101319PA841 | DATACOM SOLUTIONS, INC. | Department of Defense | $122.29K | 2019-12-16 | 2027-03-13 | 517311 | 1GB ETHERNET LEASE DCSI000001EBM |
| HSBP1107F18989 | AT&T DATACOMM, L.P. | Department of Homeland Security | $120.1K | 2007-09-25 | 2007-11-30 | — | TELEPHONE SYSTEM |
| 75N95021F00002 | DATACONSULT-IO LLC | Department of Health and Human Services | $120.06K | 2021-02-01 | 2025-08-23 | 541690 | SCIENTIFIC DATA SCIENCE AND TECHNOLOGY CONSULTING SERVICES |
| 0078 | COMTECH MOBILE DATACOM LLC | Department of Defense | $119.71K | 2008-05-01 | 2008-06-18 | 334220 | TRAVEL |
| 0090 | ATAC | Department of Transportation | $119.47K | 2017-02-06 | 2018-02-05 | 541330 | IGF::OT::IGF PERFORMANCE DATA ANALYSIS AND REPORTING SYSTEM (PDARS) CONTRACT NUMBER DTFAWA-11-D-00038, TASK ORDER 0090, EQUIPMENT UPDATE AND TECH REFERESH |