Operational Characteristics Identification and Simulation Model Verification for Incheon International Airport

Eun, Yeonju; Jeon, Daekeun; Lee, Hanbong; Zhu, Zhifan; Jung, Yoon; Jeong, Myeong-Sook; Kim, Hyounkyong; Oh, Eunmi; Hong, Sung–Kwon; Lee, Junwon

doi:10.2514/6.2016-3161

Cited by 9 publications

(11 citation statements)

References 5 publications

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“…Figure 10 shows the three-dimensional contour plot of the dependencies of the throughput Q on the distribution probability a and the interval of arrival time T in . It was observed that throughput Q gets sluggish and reaches the plateau as T in increases, thus making a type of sigmoid curve, the tendency of which is similar to the experimental data of the same type of systems in previously reported works [25][26][27]. On the other hand, the dependence of throughput Q on arrival time interval T in does not reach the plateau in between 4 and 2min at around where the parameter α gets close to the ratio of the number of parking sites in the domestic route to that in the whole system.…”

Section: Analysis With the Classical M M C Queuesupporting

confidence: 85%

“…In the case of 2 min, an important observation was made; the throughput Q reduces after α reaches the maximum capacity. The overall reduction of throughput Q in between 0.6 and 1.0 seems to be unique because the throughput plateaus after saturation, in similar systems [25][26][27]. Besides, we confirmed from figure 5 that the existence of the delay of staying time is not the critical factor for the overall reduction because we observe it in both cases: with stochastic and with deterministic parameters.…”

Section: Simulation Resultssupporting

confidence: 65%

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Throughput reduction on an air-ground transport system by the simultaneous effect of multiple traveling routes equipped with parking sites

2020

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This paper examines the traffic flows on a two-dimensional stochastic lattice model that comprises a junction of two traveling routes: the domestic route and the international route each of which has parking sites. In our model, the system distributes the arrived particles to either of the two routes and selects one of the parking sites in the route for each particle, which stops at the parking site once during its travel. Because each particle has antennas in the back and front directions to detect other approaching particles, the effect of the volume exclusion of each particle extends in the moving direction. The system displays interesting behavior; remarkably, the dependence of the throughput on the distribution ratio of particles to the domestic route reduces after reaching the maximum parking capacity of the domestic route. Our simulations and analysis with the queueing model describe this phenomenon and suggest the following fact: as the distribution ratio of particles to the international route decreases, the throughput of the international route reduces, and simultaneously, that of the domestic route saturates. The simultaneous effect of the decrease and saturation causes a reduction in the throughput of the entire system.

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Section: Analysis With the Classical M M C Queuesupporting

confidence: 85%

Section: Simulation Resultssupporting

confidence: 65%

Throughput reduction on an air-ground transport system by the simultaneous effect of multiple traveling routes equipped with parking sites

2020

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“…Airport surface traffic optimization for ICN has been studied with the requirements and the relevant assumptions defined based on the airport operational characteristics [3]. For the surface traffic optimization, the three-step approach [7][8][9][10] was applied, which consists of;…”

Section: B Optimization Based Approachmentioning

confidence: 99%

“…Inha University, a member of the consortium, is developing a scheduler based on a First-Come First-Served (FCFS) approach [1,2]. KARI is developing a scheduler using MILP through collaborative research with NASA [3,4].…”

Section: Introductionmentioning

confidence: 99%

Comparison of First-Come First-Served and Optimization Based Scheduling Algorithms for Integrated Departure and Arrival Management

Park

Lee

et al. 2018

2018 Aviation Technology, Integration, and Operations Conference

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Administration (NASA) are investigating scheduling algorithms that will be a part of an integrated arrival and departure management system. Inha University, one of the Korean collaborators of KARI, developed an Extended First-Come First-Served (EFCFS) algorithm that is robust and efficient. However, since the EFCFS algorithm sequentially computes the schedule based on priority, the end results may not be optimal for system efficiency. The approach based on Mixed Integer Linear Programming (MILP) originally developed by NASA and modified by KARI is known to produce better schedules at the expense of computational cost. In this paper, the two different scheduling approaches are compared using common traffic scenarios and constraints at Incheon International Airport. Capabilities to apply weight class based wake turbulence runway separation minima and Miles-in-Trail (MIT) restrictions at selected meter fixes are added to the previously developed EFCFS scheduler. Based on historic data, 40 departures and 20 arrivals are chosen in a one-hour period and 100 scenarios were created by randomly assigning gate numbers, gate departure times, and runway landing times. With the current runway separation requirements, MILP resulted in about ten to twenty percent smaller average delays depending on the constraints. With artificially increased separation minima, the difference between MILP and EFCFS became more noticeable. However, the EFCFS was about ten times faster with smaller variations among different scenarios and constraints. The comparison suggests that the MILP-based algorithm has a small advantage at the current traffic level; however, has potential to be more effective in higher demand or severe weather situations. The EFCFS algorithm may be better suited for real-time applications or investigating larger scale scheduling problems.

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“…국내의 경우, 국토교통부의 '항공기 출발 도착 통합 관리 연구'를 통해 포화 상태에 다다른 국내 공항들의 교통 관 리 기능의 향상을 기대하고 있다 [2]. 본 논문은 기존 연구를 기 반으로 [3][4][5], 일반화된 노드-링크 (node-link) 모델에서의 선입-선처리 알고리즘 (FCFS; first-come first-served algorithm)을 이 용한 항공기 지상 이동 스케줄링 기법에 대해 설명한다.…”

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First-Come First-Served Airport Surface Movement Scheduling

Kang¹,

Park²,

Lee³

2017

The Journal of Advanced Navigation Technology

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[Abstract]An airport surface movement scheduler using first-come first-served (FCFS) algorithm is developed to efficiently manage surface traffic in an airport. It is based on the previously developed traffic flow management scheduler. Link directionality and intersection processing, which are additional constraints for ground movement, are added to the scheduler. To verify each of additional constraints, several simulations were performed by making simple scenarios, and the results show that all constraints were satisfied. Also, a simulation was performed by making a scenario based on flight operation information system (FOIS) data which is real departure and arrival flight data of Jeju airport. To determine the practicality of the developed scheduler, we compare the actual average delay time with the average delay time calculated by the scheduler.

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Operational Characteristics Identification and Simulation Model Verification for Incheon International Airport

Cited by 9 publications

References 5 publications

Throughput reduction on an air-ground transport system by the simultaneous effect of multiple traveling routes equipped with parking sites

Throughput reduction on an air-ground transport system by the simultaneous effect of multiple traveling routes equipped with parking sites

Comparison of First-Come First-Served and Optimization Based Scheduling Algorithms for Integrated Departure and Arrival Management

First-Come First-Served Airport Surface Movement Scheduling

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