SBIR-STTR Award

Operational Risk Coordination Assistant for Metroplex Arrivals
Award last edited on: 3/24/2023

Sponsored Program
SBIR
Awarding Agency
NASA : LaRC
Total Award Amount
$874,907
Award Phase
2
Solicitation Topic Code
A3.01
Principal Investigator
Peter Kostiuk

Company Information

Robust Analytics Inc

1302 Cronson Boulevard Suite B
Crofton, MD 21114
Location: Single
Congr. District: 04
County: Anne Arundel

Phase I

Contract Number: 80NSSC19C0443
Start Date: 8/19/2019    Completed: 2/18/2020
Phase I year
2019
Phase I Amount
$124,935
Our Operational Risk Collaboration Assistant (ORCA) concept integrates heterogeneous data and advanced analytics to provide airlines and the FAA with models to predict potential operational risks to flight operations into high-traffic airports. We define operational risk from the airline perspective as the likelihood that flights will be delayed, re-routed, or cancelled due to weather, congestion, and FAA decisions. ORCA aims to support airlines operating in a TBO environment in which they collaborate with the FAA to define objectives, share constraint information, develop plans, and share responsibility in the execution. In this vision, operators require the ability to predict with greater accuracy than today the operating conditions and constraints will develop over the next several hours. Improved predictive capability will enable airlines to build more efficient flight plans and prepare alternatives should operating conditions change. ORCA will provide airlines with the ability to better predict operational conditions at destination airports, allowing them to build better flight plans and manage their network operations to improve on-time performance, customer satisfaction, and assist the FAA in matching demand at choke points to available capacity. Our tool will also provide a model for airlines to make decisions under uncertainty, balancing the costs of different outcomes. For the FAA, ORCA offers a tool to integrate multiple factors into a probabilistic assessment of ever-changing conditions and their potential impact on flight safety and efficiency. Potential NASA Applications (Limit 1500 characters, approximately 150 words) ORCA supports achievement of NASA milestones for Increasing Diverse Operations under the ATM-X project. By integrating multiple technologies and developing new predictive algorithms, ORCA offers IDO the potential for improving traffic flows into high-density airports.ORCA will help NASA meet its milestones for improving operations in the Northeast Corridor, as well as other regions in the NAS. Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words) ORCA meets an industry need for improved prediction of the potential for disrupted operations from dynamic shifts in weather, traffic density and flows, and airspace constraints. ORCA will be particularly important for tackling high density, complex airspace such as the Northeast Corridor, as it will allow operators to take mitigating actions and speed recovery from irregular operations.

Phase II

Contract Number: 80NSSC20C0107
Start Date: 6/16/2020    Completed: 6/15/2022
Phase II year
2020
Phase II Amount
$749,972
The Operational Risk Coordination Assistant (ORCA) offers an integrated data and advanced analytics solution to provide airlines and the FAA with models to predict potential operational risks to flight operations into high-traffic airports. We define operational risk from the airline perspective as the likelihood that flights will be delayed, re-routed, or cancelled due to weather, congestion, and FAA decisions. Using algorithms based on analysis of historical data and current weather and forecasts, ORCA generates conditional capacity probabilities and combines them with airline cost data to define the possible scenarios and quantify the expected cost of airline actions under the possible outcomes. ORCA will provide airlines with an improved ability to predict possible operational conditions at destination airports, allowing them to build better plans and manage their network operations to improve on-time performance, customer satisfaction, and assist the FAA in matching demand to available capacity. Our tool provides a guide for airlines to make decisions under uncertainty, estimating the expected costs of different actions for a set of possible outcomes. For the FAA, ORCA offers a tool to integrate multiple factors into a probabilistic assessment of ever-changing conditions and their potential impact on flight safety and efficiency. Our concept aims to support airlines operating in an environment in which they collaborate with the FAA to define objectives, share constraint information, develop plans, and share responsibility in the execution. In that vision, operators require the ability to predict with greater accuracy than today what the operating conditions and constraints will be over the next several hours. Improved predictive capability will enable airlines to build more flexible plans and prepare alternatives should operating conditions change. Potential NASA Applications (Limit 1500 characters, approximately 150 words) ORCA supports achievement of NASA milestones for Increasing Diverse Operations under the ATM-X project. By integrating multiple technologies and developing new predictive algorithms, ORCA offers IDO the potential for improving traffic flows into high-density airports. We offer an innovative integration of multiple data services with predictive analytics to help airlines to better manage and respond to the uncertainty in their operations. We offer an approach that enables the airline to better forecast and plan for potential disruptions. Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words) ORCA meets a stated industry need for tools to assist in decision making in an uncertain environment and help them identify potential disruptions and evaluate options for mitigating the costs of disrupted operations from dynamic shifts in weather, traffic density, and airspace constraints. ORCA can be used in the airline operations center with existing dispatch systems, with no upfront investment.