2017
DOI: 10.3390/aerospace4040057
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Comparative Study of Aircraft Boarding Strategies Using Cellular Discrete Event Simulation

Abstract: Time is crucial in the airlines industry. Among all factors contributing to an aircraft turnaround time; passenger boarding delays is the most challenging one. Airlines do not have control over the behavior of passengers; thus, focusing their effort on reducing passenger boarding time through implementing efficient boarding strategies. In this work, we attempt to use cellular Discrete-Event System Specification (Cell-DEVS) modeling and simulation to provide a comprehensive evaluation of aircraft boarding strat… Show more

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Cited by 26 publications
(25 citation statements)
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References 13 publications
(20 reference statements)
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“…We summarize only these methods because they contain the core ideas that are used in the methods that apply when apron buses are used. Additional methods and their boarding rules can be found in References [14,15,21,25,30,31,33]. Table 1.…”
Section: Summary Of One-door Boarding Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We summarize only these methods because they contain the core ideas that are used in the methods that apply when apron buses are used. Additional methods and their boarding rules can be found in References [14,15,21,25,30,31,33]. Table 1.…”
Section: Summary Of One-door Boarding Methodsmentioning
confidence: 99%
“…A middle seat is the most "highly disliked" choice. For better simulation of the considered situations, an agent-based model in NetLogo [10] was created and calibrated in accordance with the on-the-field observations made throughout the literature [11][12][13][14][15][16][17][18]. The BehaviourSpace tool offered by NetLogo has been used for simulations [19].…”
Section: Introductionmentioning
confidence: 99%
“…Over time, a series of papers have been written in the area of airplane passengers' boarding, either on proposing new boarding methods, making adjustments to the already existing methods, or determining which method perform better under given conditions (number of seat rows or aircraft type description [10,[14][15][16][17], passengers movement [5,13], passengers carrying hand luggage [10,12,13,18,19], seat selection [5,15], aircraft occupancy [8,10,14,18,[20][21][22], annual cost [23], seat and aisle interference [24], etc.) As for the methods used in modeling and simulation, one can mention the following approaches: cellular Discrete-Event System Specification (Cell-DEVS) modeling [25], Discrete-Event simulation [21], cellular automata [26], stochastic approach [27][28][29], linear programming [30], grid based simulation model [31], computer simulation [20,21,30,32,33], Cell-based computer simulation [15], Markov Chain Monte Carlo optimization algorithm and computer simulation [13], genetic algorithm [16], critical path method and Lorentzian space-time geometry [6], and empirical tests of the performance of the considered boarding methods…”
Section: Non-traditional Methodsmentioning
confidence: 99%
“…Each tick from NetLogo, representing the unit of time, has been associated with 3.7 s in real life as recent researches suggested [27,47]. This value has been updated from 5.4 s as suggested by [10,25,48] to 3.7 s determined by field measurement in [47]. Moreover, for the current modeling, the seat interference has been considered, which will cause delay in the overall boarding time, depending on the passenger's seats and whether their neighboring seats are occupied.…”
Section: Methodology and Model's Parametersmentioning
confidence: 99%
“…For example, JetBlue uses a "by seat" modified reverse pyramid on the half zone for passengers boarding, while KLM, on selected flights, has used a method that combines WilMA and Back-to-front in a "by seat" manner [12]. Additional methods, "by seat" or "by group", and their boarding rules can be found in [4,8,[21][22][23][24][25].…”
mentioning
confidence: 99%