Abstract
Standardized Taxiing Routes (STRs) are defined as published taxiing-in and taxiing-out routes for aircraft between gates and runways, aiming at improving ground movement safety at busy or complex airports. Most of the STRs specify only one path between each O–D (Origin–Destination) pair, which compromises the flexibility of route choice in time-varying traffic scenarios. In this paper, we present a holistic approach of planning and validating Multi-Path Standardized Taxiing Routes (MPSTRs) based on System-Optimal Traffic Assignment (SOTA), by firstly defining the flow-based congestion cost of runway, taxiway, and sectorized apron operation at a macroscopic level. A human-in-the-loop experiment comprised of six operation scenarios follows to investigate the impact of the pre-planned MPSTRs on human controllers’ performance. Results confirm the positive effect of the MPSTRs on taxiing performance without increasing the controllers’ workload, which also implies that the MPSTRs would be a promising approach for balancing safety and efficiency for the STRs-based taxiing operation and dynamic routing optimization without substantial investment.
Highlights
Standardized Taxiing Routes.With the continuous increase in flight demand and the expansion of airports, physical structure, as well as the traffic situation, is becoming ever more complex
Multi-Path Standardized Taxi Routes (MPSTRs) are a promising approach to balancing the safety and efficiency for STR-based taxiing operation and flexible routing optimization, as well as future autonomous aircraft taxiing without substantial investment
This paper proposed a holistic approach in order to generate efficient alternative taxiing routes with a moderate scale, starting from a macroscopic traffic flow assignment based on the generalized congestion cost of runways, taxiways, and aprons
Summary
In order to meet the requirements of safety and the efficiency improvement of taxiing operations, especially in busy airports, we systematically investigated the flowbased optimal MPSTRs planning method based on macroscopic traffic flow dynamics to balance the optimality and acceptability, which was validated by fast simulation and. Fundamental diagrams characterizing the evolution of flow congestion at runways, taxiways, and aprons were established, and the time-based congestion cost function of sub-network at airport surface was defined to provide the basis for optimal traffic flow assignment. HITL simulation experiment was conducted using a tower simulator to further validate the impact of the MPSTRs on control performance like workload, potential taxiing conflict, taxiing efficiency, etc., for different traffic patterns compared to fixed standard route strategies, providing insight into the further application of the MPSTRs. The remainder of this paper is organized as follows.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
