Abstract
The flow corridor is a tube-shape class of airspace designed for the future air transportation system, which aims to reduce complexity, restructuring the airspace to provide more system capacity. In order to support operational procedures design towards increased operational efficiency in the flow corridor, an accurate assessment of alternative procedures is a pre-requisite. This paper proposes a dynamic stochastic simulation framework including various microscopic behaviors for the assessment of distributed self-separation procedures for the air traffic in flow corridors. We first specify three prominent self-separation modes which distinguish flow corridors from today’s airways system, and present detailed self-separation procedures and algorithms in a parallel-lane flow corridor incorporating self-separating, lane-passing and lane-switch behaviors based on the aircraft dynamic model and the proportional derivative control theory. Then, incorporating these self-separation algorithms, a dynamic stochastic simulation modeling framework is constructed to assess and compare the alternative distributed self-separation procedures. The framework is applied to a parallel-lane flow corridor deployed from Beijing nearby airports (ZBAA, ZBTJ and ZBNY) to Guangzhou nearby airports (ZGGG, ZGSZ and ZGSD) in China, and the self-separation procedures were thoroughly assessed with both realistic and simulated data for benefits assessment and sensitivity analysis. Results show that the speed-based operational procedure is more suitable for high-density operations while the other two procedures have more flexibility which can be used for air traffic flow contingency management and/or trajectory management.
Highlights
In order to enable a substantial increase in airspace capacity to meet future demand for air travel while maintaining safety, many countries and regions are undergoing the air transportation system transformation [1], [2]
A potential parallel-lane flow corridor instance is initialized with realistic data, followed by the design of detailed self-separation procedures and algorithms which incorporate self-separating, lane-passing and lane-switch behaviors based on the aircraft dynamic model and the proportional derivative control theory
Based on the core models and algorithms introduced above, we developed a dynamic stochastic simulation modeling framework which is written in the C++ language and visually verified by google earth for assessing the alternative distributed self-separation operations in flow
Summary
In order to enable a substantial increase in airspace capacity to meet future demand for air travel while maintaining safety, many countries and regions are undergoing the air transportation system transformation [1], [2]. ALTERNATIVE DISTRIBUTED SELF-SEPARATION OPERATIONS IN FLOW CORRIDORS Current airways are typically single-track, bidirectional and multi-layered structure which are divided into en-route sectors, and the air traffic controllers of the sectors coordinate the movement of aircraft to maintain safe distances between them. The distributed self-separation capability is one of the prominent attributes that would distinguish flow corridors from today’s airways system It implies that during the operation in pre-defined corridors, the flight crew can use advanced communication, navigation and surveillance technology to monitor and separate themselves from other aircraft, thereby reducing air traffic controllers’ workload and increasing their productivity. The distributed algorithm for self-separation operation in this procedure is similar to the speed-independent with passing one It would determine the triggering condition of lane-switch maneuver by considering the velocities difference, separation variation of related aircraft and the availability of the other lane etc.
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