The aircraft ground routing problem: Analysis of industry punctuality indicators in a sustainable perspective

Guépet, Julien; Briant, Olivier; Gayon, Jean-Philippe; Acuña-Agost, Rodrigo

doi:10.1016/j.ejor.2015.08.041

Cited by 41 publications

(24 citation statements)

References 8 publications

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“…Badrinath and Balakrishnan [7] considered the optimal control of tandem queues, whose evolution of the mean lengths were described with ordinary differential equations, in order to mitigate surface congestion at large airports. J.P. Gayon et al [8] applied mixed integer programming (MIP) to solve the problem. He extended the problem from single paths to alternate paths and creatively added punctuality index into the objective function.…”

Section: Literature Reviewmentioning

confidence: 99%

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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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Section: Literature Reviewmentioning

confidence: 99%

“…( + − ) ≤ 0 ∀ , ∈ , ∈ (4) Constraints (5) and (6) meant that no head-on conflicts were allowed. Constraints 7and (8) revealed that no rear-end conflicts were allowed when two aircraft taxied in the same direction on the same taxiway.…”

Section: Objective Functionmentioning

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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“…To analyze which airline has the highest punctuality factor, the punctuality metric of OTP 15 minutes (on time performance of 15 minutes) was used, as it is the main measure taken in to account when comparing airlines. (Guepet, et. al., 2016) In the analysis of data from 2017, the results are as follows:…”

Section: Figure 7 Airline Service Quality In Factors and Totalmentioning

confidence: 99%

Behavioral Economics Perspective on Assessment of Recruitment and Selection Practices in Latvia

Mons

Vēvere

2020

Acta Prosperitatis

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The aim of the current paper is to evaluate the current Human Resource Management evolution in Latvia with respect to employee recruitment and selection practices. The focus is set on the used methods of selection process in organizations, when they are hiring personnel on different organization levels. The authors of the current paper applied several empirical methods to research the recruitment and selection processes. The study was executed in two stages: (1) discussion with Latvia’s recruitments practitioners (Delphi method), and (2) quantitative study performed in Latvia. The research questions were the following. Question 1: Which recruitment methods are used in their represented organizations? Question 2: Which of selection methods are used in their organization? To collect primary data an online survey form was created which was completely self‐administrative. A sample of 16 businesses from different industries in Latvia, was selected. The sampling was conducted during the whole month of January 2020 and data is reflected in the findings. The survey results demonstrate that the employee selection methods applied in Latvia are not that various. Most of the respondents holds on to the traditional methods such as panel interviews and one to one interviews.

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“…Genetic algorithms have also been used to evolve the routes rather than choosing predefined ones [24]. Alternative efforts including [13,17,20,36] formulated Ground Movement as a mixed-integer linear programming problem. A recent approach using pre-computed routes formulated Ground Movement as a job-shop scheduling problem [1].…”

Section: Related Workmentioning

confidence: 99%

A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing

Brownlee

Woodward

Weiszer

2018

Proceedings of the Genetic and Evolutionary Computation Conference

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With increasing demand for air travel and overloaded airport facilities, inefficient airport taxiing operations are a significant contributor to unnecessary fuel burn and a substantial source of pollution. Although taxiing is only a small part of a flight, aircraft engines are not optimised for taxiing speed and so contribute disproportionately to the overall fuel burn. Delays in taxiing also waste scarce airport resources and frustrate passengers. Consequently, reducing the time spent taxiing is an important investment. An exact algorithm for finding shortest paths based on A* allocates routes to aircraft that maintains aircraft at a safe distance apart, has been shown to yield efficient taxi routes. However, this approach depends on the order in which aircraft are chosen for allocating routes. Finding the right order in which to allocate routes to the aircraft is a combinatorial optimization problem in itself.We apply a rolling window approach incorporating a genetic algorithm for permutations to this problem, for real-world scenarios at three busy airports. This is compared to an exhaustive approach over small rolling windows, and the conventional first-come-firstserved ordering. We show that the GA is able to reduce overall taxi time with respect to the other approaches.

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The aircraft ground routing problem: Analysis of industry punctuality indicators in a sustainable perspective

Cited by 41 publications

References 8 publications

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

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

Behavioral Economics Perspective on Assessment of Recruitment and Selection Practices in Latvia

A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing

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