Fast Aircraft Turnaround Enabled by Reliable Passenger Boarding

Schultz, Michael

doi:10.3390/aerospace5010008

Cited by 53 publications

(41 citation statements)

References 36 publications

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“…Starting with the implemented basic boarding strategies, new boarding strategies will emerge to enable new infrastructural approaches (e.g., combination of block + alternation patterns for the SideSlip Seat implementation, see Figure 17). After introducing a stochastic approach to consider the individual passenger behavior during aircraft boarding [7,20], the field measurements to calibrate the stochastic model, and investigations into procedural/infrastructural changes [48,49], two new topics in the context of aircraft boarding will be focused upon: the real-time prediction of the boarding time [51,52] using sensor information from a connected aircraft cabin [53,54] and the seatNow concept [55]. The seatNow concept addresses operational improvements if the current standard call-in boarding procedure is replaced by a dynamic seat allocation process.…”

Section: Discussionmentioning

confidence: 99%

Field Trial Measurements to Validate a Stochastic Aircraft Boarding Model

Schultz

2018

Aerospace

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Efficient boarding procedures have to consider both operational constraints and the individual passenger behavior. In contrast to the aircraft handling processes of fueling, catering and cleaning, the boarding process is more driven by passengers than by airport or airline operators. This paper delivers a comprehensive set of operational data including classification of boarding times, passenger arrival times, times to store hand luggage, and passenger interactions in the aircraft cabin as a reliable basis for calibrating models for aircraft boarding. In this paper, a microscopic approach is used to model the passenger behavior, where the passenger movement is defined as a one-dimensional, stochastic, and time/space discrete transition process. This model is used to compare measurements from field trials of boarding procedures with simulation results and demonstrates a deviation smaller than 5%.

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Section: Discussionmentioning

confidence: 99%

Field Trial Measurements to Validate a Stochastic Aircraft Boarding Model

Schultz

2018

Aerospace

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“…The value of the default speed is adjusted for each passengers depending on several characteristics related to the number of luggage pieces he/she is carrying on board and based on the speed of the leading passenger. We assume that no overpassing is possible while walking through the aisle (readers can find similar assumptions in [11,51,52]). When a passenger has carry-on bags, the speed is generally reduced, taking a random number between 0.2 m/s and 0.3 m/s, which is adjusted depending on the speed of the leading passenger [2].…”

Section: Passenger Movement Assumptions and Luggage Assumptionsmentioning

confidence: 99%

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

et al. 2019

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This paper investigates the time to complete the boarding of a partially occupied two-door airplane when its passengers are transported from the airport terminal to the airplane using two apron buses. We propose a greedy method that assigns each passenger to a particular apron bus based on the passengers’ airplane seat assignments. This greedy approach exploits the airplane’s symmetry by providing essentially the same method for those boarding through the front door of the airplane as those boarding through the rear door of the airplane. The symmetrical properties of window, middle, and aisle seats of each row/side are considered in the proposed method as well. Computer simulation results indicate that, when using the greedy method, the boarding time can be reduced by up to 8.33% compared to the boarding time resulting from the best known practices in the literature, and with up to a 43.72% improvement in boarding time when compared to the boarding method commonly used in many airports. Furthermore, experimental results confirm our hypothesis that when the capacity of the apron buses exceeds the number of passengers to be transported to the airplane, the most time-efficient results of the proposed greedy method occur when an equal number of passengers are assigned to each of the two apron buses.

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“…Depending on the carry-on luggage, the speed of the agents varied. For example, when an agent travelled without hand luggage, their default speed was up to 0.33 m/s, as it is adjusted based on the agent in front of him, due to the fact that, similar to Referenes [11,26,50], we also assumed that no overtaking in the aisle was possible. When the agent had one or two pieces of luggage, the speed was a random number between 0.2 m/s and 0.3 m/s; even in this case, the speed was adjustable based on the speed of the leading passenger [7].…”

Section: Passenger Movement Assumptionsmentioning

confidence: 99%

Testing New Methods for Boarding a Partially Occupied Airplane Using Apron Buses

et al. 2019

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The use of apron buses has become a common practice at many European airports. Previous studies related to airplane boarding rarely apply when apron buses are used, leaving airlines with no well-researched option except to use the random boarding method. In this paper, we test the time to complete boarding a two-door airplane using various boarding methods with two apron buses. These methods were inspired by the classical outside-in, back-to-front, and reverse-pyramid methods considering the limited number of boarding groups corresponding to the limited number of apron buses used for transporting passengers from the terminal to the aircraft. Unlike earlier publications, we test these methods under partial aircraft occupancy. Furthermore, we test the boarding methods under conditions involving: different passenger occupancy rates, different luggage situations, and with two types of seating assignments-random and based upon passenger seating preferences-by considering the advantages brought by the symmetric layout of the aircraft. Experimental results indicate that the best performing method can reduce the boarding time by up to 38.6% compared to the time resulting from the random boarding method. When the airplane is partially occupied, the best performing methods are reverse pyramid-A, hybrid-A, and hybrid-B, all with similar performances.

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Fast Aircraft Turnaround Enabled by Reliable Passenger Boarding

Cited by 53 publications

References 36 publications

Field Trial Measurements to Validate a Stochastic Aircraft Boarding Model

Field Trial Measurements to Validate a Stochastic Aircraft Boarding Model

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

Testing New Methods for Boarding a Partially Occupied Airplane Using Apron Buses

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