2017
DOI: 10.1016/j.ifacol.2017.08.1904
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Optimal and Practical Aircraft Sequencing and Scheduling for Point Merge System

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Cited by 14 publications
(5 citation statements)
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“…Then, studies dealing with the optimization of the system are also presented. Hong et al proposed a practical optimal sequencing and scheduling algorithm for a single PMS using integer linear programming extended with the First Come First Serve (FCFS) layout, Constrained Position Shifting constraints, and an objective function that minimizes the total flight time of arrival traffic ( 28 ). Tian et al presented a multi-objective model and a genetic algorithm for sequencing arrivals in a single PMS with a single runway to minimize fuel consumption, flight times, and emission and noise effects ( 29 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Then, studies dealing with the optimization of the system are also presented. Hong et al proposed a practical optimal sequencing and scheduling algorithm for a single PMS using integer linear programming extended with the First Come First Serve (FCFS) layout, Constrained Position Shifting constraints, and an objective function that minimizes the total flight time of arrival traffic ( 28 ). Tian et al presented a multi-objective model and a genetic algorithm for sequencing arrivals in a single PMS with a single runway to minimize fuel consumption, flight times, and emission and noise effects ( 29 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The authors [16] described the sequencing of landing aircraft, taking into account the minimization of the schedule length. They applied selected theoretical algorithms, then they were verified, and a methodology for determining the sequence of landing operations was developed, ensuring the shortest possible execution of all operations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Constraint (10) states that each aircraft included in the air traffic flow from any entry point will return to the merge point using only one waypoint (45 0 or 90 0 turn) on the sequencing leg. Constraints (11) and (12) ensure that any node is visited exactly once at a given time t. In this context, a node (entry point, waypoint or merge point) at a certain time t can only be used by one aircraft. These constraints are important in preventing conflict during sequencing.…”
Section: Constraintsmentioning
confidence: 99%
“…On the other hand, although the PMS implementation started in the 2010s, the concept and theoretical studies related to merging date to late 1990s. Numerous studies regarding the sequencing of the PMS have been conducted by Hong et al [11], Lee et al [12], Yannan et al [13], Christien et al [14], Toratani and Itoh [15] and proposed an optimal and practical sequencing and scheduling algorithm to increase the capacity in handling inbound traffic through the PMS and to support the decision-making process of air traffic controllers. In addition, Lee et al [12] recommended an optimal scheduling algorithm of the PMS, also considering a holding pattern based on a Mixed Integer Linear Programming (MILP).…”
Section: Introductionmentioning
confidence: 99%