Modeling and designing aircraft taxiing patterns for a large airport

Kariya, Yusuke; Yahagi, Hiroyuki; Takehisa, Masato; Yoshihara, Shigeki; Ogata, Taiki; Hara, Tatsunori; Ota, Jun

doi:10.1080/01691864.2013.805469

Cited by 8 publications

(5 citation statements)

References 18 publications

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“…Hence, when airport congestion occurs, the taxiing phase becomes a key issue. Most research about the taxiing phase is based on the simulations model and queuing theory [6,9,10,16,17,20]. The main objective of such research involves simulating a taxiing model in order to improve taxiing time operations and to avoid delays at airports.…”

Section: Estimations and Resultsmentioning

confidence: 99%

“…Therefore, to quantify the extent to which the increased traffic from subsidies causes delays in airport ground operations and flights, the disturbance between aircraft categories in landing and take-off operations must be considered. The disturbance between aircraft will be evaluated by employing a simple model of landing intervals [16][17][18] considering two aircraft categories (i.e., ATRs and B737/A320 aircraft families). TFN and LPA are seasonal airports with peak periods where the demand is very close to saturation level.…”

Section: Airport Network In Canary Islandmentioning

confidence: 99%

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The Influence of the Resident Subsidy on Regional Carrier Economies and the Environment in the Canary Interisland Air Traffic Network

Martı́n-Cejas

2022

Tourism and Hospitality

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The existence of aviation subsidies can exacerbate congestion in airports that operate near their maximum threshold. One of the main operational issues in airports, that is, aircraft taxiing operations, could become more difficult and, therefore, produce negative effects on airport capacity management. Air carrier economies, touristic mobility (leisure travel), and the environment could also be negatively affected. Greenhouse gas emissions, passenger travel time, and air carriers’ fuel costs, for example, might rise due to aircrafts’ increased taxiing time. This paper seeks to analyse the impact of regional aviation subsidies for regional hub airports in the Canary Island air traffic network; specifically, the effect it has on airports’ capacity in terms of LTO (landing and taking off) cycle delays and its repercussions for passenger travel time, air carrier economics, and the environment. Therefore, to quantify the extent that the increased traffic from subsidies cause airport ground operations to delay flights, the disturbance between aircraft categories in landing and taking off operations must be considered. The disturbance between aircrafts will be evaluated by employing a simple model of landing intervals considering two aircraft categories (i.e., ATRs-72, ATRs-42, and B737/A320 aircraft families). The above-mentioned methodology provides an approximation of the average processing rate for take-off using the ultimate capacity concept for a variety of aircrafts landing on a single runway of the airport. As a result, it must be noted that there is a potential economic and environmental impact associated with the implementation of the subsidy increase for residents’ interisland travel and from the Canary Islands to the mainland. There is also a negative effect on runways for both airports due to the capacity constraints. These impacts, however, have to be balanced with the social and economic benefits that each regional inhabitant derives from the subsidy in terms of improvement of their mobility for any purpose.

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Section: Estimations and Resultsmentioning

confidence: 99%

Section: Airport Network In Canary Islandmentioning

confidence: 99%

The Influence of the Resident Subsidy on Regional Carrier Economies and the Environment in the Canary Interisland Air Traffic Network

Martı́n-Cejas

2022

Tourism and Hospitality

View full text Add to dashboard Cite

show abstract

“…The main tasks that need to be completed in the taxiing phase include monitoring the surrounding traffic environment, controlling the aircraft speed, and maintaining an updated representation of the real-time position on the taxiing sur-face and the location of the destination [22]. The last two tasks do not strongly correlate with the visibility outside of the cockpit.…”

Section: Discussionmentioning

confidence: 99%

Pilots’ Scanning Behavior Between Different Airport Intersection Maneuvers in a Simulated Taxiing Task

Zhang

Xue

et al. 2019

IEEE Access

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Among flight crew errors, 54% occurred in the taxiing phase, especially near intersections in low visibility situations. This paper examines pilots' scanning behavior when executing different turning maneuvers at airport intersections both on clear days and in low visibility situations. The Beijing International Airport was reconstructed in an Airbus 320 simulator. Eight male pilots participated in this study. The pilots were required to take full manual control from the last approach point and to taxi according to the predetermined flight plan. The pilots' fixation rate, average fixation duration, and dwell time percentage in each area of interest (AOI) were analyzed during the turning maneuvers near four examined intersections. The results showed that the dwell time percentages in the electronic centralized aircraft monitoring (ECAM) area when executing right turn maneuvers were significantly higher than those when executing left turn maneuvers on clear days. In low visibility situations, the percentages of dwell time in the right view out of the window (OTWR) area when executing right turn maneuvers were significantly higher than those when executing left turn maneuvers. To examine if the scanning behavior reported in this study is safe or not, the pilots' responses to potentially dangerous situations should be further studied.

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“…They established a path optimization model for aircraft taxiing at airport surface with the shortest total taxi time as the target. Yusuke et al [3] put forward two strategies to reduce taxi time. Strategy one was to control the time interval between two consecutive departure aircraft, and strategy two was to adjust the total time of aircraft from the beginning to the end of taxiing.…”

Section: Literature Reviewmentioning

confidence: 99%

A Priority-Based Conflict Resolution Strategy for Airport Surface Traffic Considering Suboptimal Alternative Paths

Jiang

Liu

et al. 2021

IEEE Access

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Modeling and designing aircraft taxiing patterns for a large airport

Cited by 8 publications

References 18 publications

The Influence of the Resident Subsidy on Regional Carrier Economies and the Environment in the Canary Interisland Air Traffic Network

The Influence of the Resident Subsidy on Regional Carrier Economies and the Environment in the Canary Interisland Air Traffic Network

Pilots’ Scanning Behavior Between Different Airport Intersection Maneuvers in a Simulated Taxiing Task

A Priority-Based Conflict Resolution Strategy for Airport Surface Traffic Considering Suboptimal Alternative Paths

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