Variable neighbourhood search for the integrated runway sequencing, taxiway scheduling, and gate reassignment problem

IF 3.3 2区 工程技术 Q2 TRANSPORTATION Transportmetrica B-Transport Dynamics Pub Date : 2022-09-26 DOI:10.1080/21680566.2022.2127429
Yu Jiang, Zhenyu Liu, Zhitao Hu, Honghai Zhang, Cheng Xu
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引用次数: 3

Abstract

With the rapid development of air transportation, the surface management of large airports has become more complicated. This paper proposes an integrated scheduling model of arrival aircraft (ISAA), in which complex constraints related to runway restrictions, gate assignment and taxiway conflicts are incorporated. With the aim of reducing the total passenger runway delay, passenger taxi delay, and passenger swap cost, the model is built as a set partition model. We propose various neighbourhood search (VNS) algorithm for solving the problem. A variable neighbourhood descent (VND) as local search is integrated into the general variable neighbourhood framework. This method is compared with a sequential method that solves runway sequencing, gate reassignment and taxiway scheduling problem separately. Numerical results based on Nanjing Lukou Internation Airport indicate that, although the swap cost for gate reassignment is slightly increased, the whole performance is significantly improved.
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综合跑道排序、滑行道调度和登机口重新分配问题的变邻域搜索
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来源期刊
Transportmetrica B-Transport Dynamics
Transportmetrica B-Transport Dynamics TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
5.00
自引率
21.40%
发文量
53
期刊介绍: Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”. Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control. Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data. The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.
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