Modeling Uncertainty in Time and Fuel Benefit Estimation for TASAR Operational Evaluation

[摘要] The Traffic Aware Strategic Aircrew Requests concept aims to reduce weather-induced delays, improve route efficiency, and efficiently share route modification options by combining onboard avionics data, Automatic Dependent Surveillance-Broadcast data, and broadband internet data to generate optimal, traffic-compatible trajectory changes based on real-time traffic and weather data. Time and fuel benefits due to use of the Traffic Aware Planner (TAP) software can be estimated by taking the difference in predicted flight time and fuel usage before and after a TAP-inspired trajectory change is completed. Although TAP’s optimization algorithm predicts flight and fuel usage based on the current flight route and weather data, it does not account for possible air traffic controller-initiated trajectory changes, reroutes due to sudden weather changes, or other pilot/controller actions that may occur during flight. This paper introduces an approach for quantifying the uncertainty in estimated time and fuel benefits.

[发布日期] 2019-11-01

[学科分类] 航空航天科学

[关键词] AIR TRAFFIC CONTROL;ALGORITHMS;COMMERCIAL AIRCRAFT;DATA ACQUISITION;MANAGEMENT PLANNING;REAL TIME OPERATION;TRAJECTORIES