Joint Arrival-Departure Taxiway Scheduling Considering Departure Uncertainty

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Joint Arrival-Departure Taxiway Scheduling Considering Departure Uncertainty
Title:
Joint Arrival-Departure Taxiway Scheduling Considering Departure Uncertainty
Journal Title:
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Keywords:
Publication Date:
13 February 2024
Citation:
Zhang, Y., Zhang, Y., Zhang, S., Huang, L., & Yin, Y. (2023, September 24). Joint Arrival-Departure Taxiway Scheduling Considering Departure Uncertainty. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). https://doi.org/10.1109/itsc57777.2023.10422445
Abstract:
The increasing demand for air travel combined with uncertainties has put additional strain on airport infrastructure and ground handling resources. To improve the efficiency of airport operations, in this paper,We firstly perform an in-depth analysis of the A-SMGCS dataset for Singapore Changi Airport, and then propose taxiing routing solutions for both landing and departure aircraft with involved departure uncertainty, formulating the problem as a mixed-integer quadratic programming (MIQP) problem. The proposed model considers the waypoint-based conflict checking, as well as incorporates anti-overtaking constraints, and head-on constraints exclusive for bidirected graph, aiming to minimize the taxiing time as well as the gap with the scheduled in-block time for landing aircraft and scheduled take-off time for departure aircraft. The presence of departure uncertainty prompts us to build a stochastic model, where constraints with stochastic variables are converted into corresponding chance constraints under designated confidence levels. Incorporating stochastic factors enhances the resilience and dependability of our solution. To evaluate the efficiency of our proposed method, we have elaborately investigated the computational complexity under various test scales, and analyzed how changes in uncertainty and confidence levels impact routing and scheduling solutions on a simplified Singapore Changi Airport network, which could provide significant reference for other work.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the National Research Foundation, Singapore / Civil Aviation Authority of Singapore (CAAS) - Aviation Transformation Programme
Grant Reference no. : ATP IOP for ATM I2R 2
Description:
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
2153-0017
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