Delay, Throughput and Emission Tradeoffs in Airport Runway Scheduling with Uncertainty Considerations

Yin, Jianan; Ma, Yuanyuan; Hu, Yuxin; Han, Ke; Yin, Suwan; Xie, Hua

doi:10.1007/s11067-020-09508-3

Cited by 19 publications

(8 citation statements)

References 42 publications

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“…However, a closer examination of the TMA reveals that complexity in the approach paths is not the only likely cause of congestion and arrival delay. In fact, the efficiency of arrival (or departure) sequencing at intersections or close to the runway also plays a key role in the intensity of the bottleneck effect experienced [75,76]. This situation is naturally set up as a waiting line that several studies have analyzed using the classical queuing model.…”

Section: A Existing Approaches To Arrival Traffic Modelingmentioning

confidence: 99%

A Comparative Analysis of Terminal Area Navigation and Conventional Standard Arrival Routes with Cellular Automata

Ogedengbe

Wong

Liem

2023

AIAA AVIATION 2023 Forum

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Aircraft arrival at airports is limited by the physical configuration and layout of the terminal maneuvering area (TMA), which might result in a bottleneck. In a bottleneck situation, navigation is made difficult because arriving aircraft will need special considerations to manage congestion and guarantee safety. In addition, the operating cost of airline operators increases with higher fuel consumption encountered in the extra airborne time. Likewise, passengers incur more travel time with the additional arrival delays. Traditional arrival adopts conventional standard arrival route (STAR), with trajectories that are rigidly coordinated by air traffic controller (ATC). However, a more flexible approach to general navigation has also been introduced, namely the area navigation (RNAV), which makes provision for flexibility in aircraft path selection. This flexibility is enabled by abstract navigational elements, namely waypoints that are unlike conventional navigational aids (NAVAIDs). We look at a modeling framework that juxtaposes the key elements of the traditional STAR (procedure-based) navigation and RNAV (performance-based) navigation. We adopt the cellular automata (CA) framework that has the capability to model the dynamic interaction between aircraft, inherent environmental uncertainties, and arrival route as defined by waypoints. To this end, we develop a modeling environment that enables a fair comparison between these two approaches under similar conditions to determine their respective viability. The effect of the number of waypoints in the TMA under different traffic conditions is illustrated using the relationship between TMA occupancy, traffic flow, and the landing rate. Results show that RNAV navigation exhibits more sensitivity to waypoint distribution within the TMA in terms of throughput, compared to STAR navigation. STAR navigation, on the other hand, demonstrates inherent latency that allows for higher capacities, albeit at the risk of initiating abrupt jamming when a high number of waypoints are active. Consequently, we are able to establish guidelines that justify the adoption RNAV over STAR and vice versa. Furthermore, we also identify performance disparities between them, and where each approach is desirable.

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Section: A Existing Approaches To Arrival Traffic Modelingmentioning

confidence: 99%

A Comparative Analysis of Terminal Area Navigation and Conventional Standard Arrival Routes with Cellular Automata

Ogedengbe

Wong

Liem

2023

AIAA AVIATION 2023 Forum

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“…To solve ASSP and TTFP, CPLEX solver ( 15 – 20 ), dynamic programming ( 21 – 26 ), and the branch and bound algorithm ( 27 – 29 ) have been applied as exact solution algorithms. In addition, several meta-heuristic algorithms have been implemented, such as the tabu search ( 16 , 27 , 30 , 31 ), simulated annealing ( 14 ), ( 32 – 35 ), ant colony optimization ( 36 – 38 ), the evolutionary algorithm ( 39 – 46 ), scatter search ( 47 ), particle swarm optimization ( 48 , 49 ), artificial bee colony ( 50 ), and artificial immune system ( 51 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Fuel-Optimal Aircraft Arrival Operations in Extended Terminal Maneuvering Areas

Çeçen

2022

Transportation Research Record

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This study considers the terminal traffic flow problem and aims to minimize the total fuel consumed in extended terminal maneuvering areas (E-TMA) using a mixed-integer linear programming model. To reveal the benefits of the E-TMA concept, the exact solution solver is selected to determine optimal aircraft sequencing. Furthermore, the proposed model applies separation and sequencing maneuvers, including the point merge system (PMS), vector maneuvers (VM), and en route speed reduction maneuvers. An innovative mathematical model is presented for this problem. In this study, the proposed model is compared with two other approaches. The first uses VM and PMS without changing the initial sequencing. The second utilizes the VM and PMS maneuvers. Unlike the first approach, it searches for the optimum aircraft arrival sequencing. The results demonstrate that the proposed model could reduce total fuel consumption by 9.45% and 1.95% compared with the other two approaches.

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“…Single-attribute dispatch strategies are generally simple and applicable. The common singleattribute dispatch strategies include: Nearest-workstation-First (NWF) [32], Nearest-Vehicle-First (NVF) [33], Longest-Idle-Vehicle (LIV) [34], First-Come-First-Served (FCFS) [35,36] and Shortest-Travel-Time-First (STTF) [4]. NWF is the dispatch strategy initiated by AGVs, and the idle AGVs search for the nearest workstation to perform tasks.…”

Section: Single-attribute Strategiesmentioning

confidence: 99%

Analysis of Multi-AGVs Management System and Key Issues: A Review

Lu¹,

Guo²,

Song³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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Multiple Automatic Guided Vehicle (multi-AGVs) management systems provide an effective solution to ensuring stable operations of multi-AGVs in the same scenario, such as flexible manufacturing systems, warehouses, container terminals, etc. This type of systems need to balance the relationship among the resources of the system and solve the problems existing in the operation to make the system in line with the requirement of the administrator. The multi-AGVs management problem is a multi-objective, multi-constraint combinatorial optimization problem, which depends on the types of application scenarios. This article classifies and compares the research papers on multi-AGVs management in detail. Firstly, according to the different dimensions of the problem, the multi-AGVs management system is analyzed from three perspectives, namely, 1) task dimensiondispatch, 2) spatial dimension-path, and 3) time dimension-scheduling. The detailed comparison between the three dimensions and their respective solutions are discussed in detail as well. Secondly, according to their utility, the multi-AGVs management problems are divided into three categories: 1) cost reduction, resource-oriented, 2) efficiency improvement, problem-oriented, 3) personalized demand, goal-oriented. The algorithm and methods of the different utility-oriented are analyzed and discussed. The related literature is summarized and corresponds to the composition of the multi-AGVs management system and the multi-AGVs management problems. Finally, according to the literature review, suggestions are made for further research.

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Delay, Throughput and Emission Tradeoffs in Airport Runway Scheduling with Uncertainty Considerations

Cited by 19 publications

References 42 publications

A Comparative Analysis of Terminal Area Navigation and Conventional Standard Arrival Routes with Cellular Automata

A Comparative Analysis of Terminal Area Navigation and Conventional Standard Arrival Routes with Cellular Automata

Fuel-Optimal Aircraft Arrival Operations in Extended Terminal Maneuvering Areas

Analysis of Multi-AGVs Management System and Key Issues: A Review

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