Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes

This paper deals with the optimization of the Check-in, passenger migration, and Security Control processes in an airport land side terminal. Given the layout of the terminal, the passengers’ flow, and the scheduled flights in a given time interval, the number and the position of Check-in counters a...

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Main Authors: Ludovica Adacher, Marta Flamini
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/6328016
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spelling doaj-429b915c32fb49419516bdcdcb2806642020-11-25T02:30:47ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/63280166328016Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control ProcessesLudovica Adacher0Marta Flamini1Roma Tre University, Via della Vasca Navale 79, Rome 00146, ItalyInternational Telematic University Uninettuno, C.so Vittorio Emanuele II 39, Rome 00186, ItalyThis paper deals with the optimization of the Check-in, passenger migration, and Security Control processes in an airport land side terminal. Given the layout of the terminal, the passengers’ flow, and the scheduled flights in a given time interval, the number and the position of Check-in counters and Security Control gates to be opened are output. The objective function is the minimization of the costs to activate the Check-in counters and the Security Control gates plus the costs that measure the passengers’ discomfort. The stochastic passengers’ behaviour and their preferences are simulated by a discrete event model, while the managing costs and the passengers’ discomfort are optimized by the Surrogate Method. Capodichino Airport, located in Naples (IT), has been considered for the test phase. Results show the effectiveness and efficiency of the solutions of the Surrogate Method compared with the performances of other algorithms.http://dx.doi.org/10.1155/2020/6328016
collection DOAJ
language English
format Article
sources DOAJ
author Ludovica Adacher
Marta Flamini
spellingShingle Ludovica Adacher
Marta Flamini
Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes
Journal of Advanced Transportation
author_facet Ludovica Adacher
Marta Flamini
author_sort Ludovica Adacher
title Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes
title_short Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes
title_full Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes
title_fullStr Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes
title_full_unstemmed Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes
title_sort optimizing airport land side operations: check-in, passengers’ migration, and security control processes
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2020-01-01
description This paper deals with the optimization of the Check-in, passenger migration, and Security Control processes in an airport land side terminal. Given the layout of the terminal, the passengers’ flow, and the scheduled flights in a given time interval, the number and the position of Check-in counters and Security Control gates to be opened are output. The objective function is the minimization of the costs to activate the Check-in counters and the Security Control gates plus the costs that measure the passengers’ discomfort. The stochastic passengers’ behaviour and their preferences are simulated by a discrete event model, while the managing costs and the passengers’ discomfort are optimized by the Surrogate Method. Capodichino Airport, located in Naples (IT), has been considered for the test phase. Results show the effectiveness and efficiency of the solutions of the Surrogate Method compared with the performances of other algorithms.
url http://dx.doi.org/10.1155/2020/6328016
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