An accelerated-time simulation of departing passengers’ flow in airport terminals

Roanes–Lozano, Eugenio; Laita, Luis M.; Roanes-Macı́as, Eugenio

doi:10.1016/j.matcom.2004.05.016

Cited by 24 publications

(10 citation statements)

References 3 publications

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“…The problem of queuing time minimisation with minimal use of resources have been brought up on numerous occasions [1], [19]. Also, several models for the selection of an appropriate number of technical resources to handle the assumed traffic flow [27], [34]. The authors of the article show the randomness in the passenger flow through the control point in a given unit of time and show this with reference to unreliability to pay special attention to the necessity of performing a broader analysis for regional airports, in particular, as they, due to low passenger traffic intensity, often use a basic analysis which can cause considerable disturbances if temporary high fluctuations in traffic intensity occur.…”

Section: Fig 1 Example Of the Security Control Process Diagrammentioning

confidence: 99%

Functional Readiness of the Security Control System at an Airport with Single-Report Streams

Kierzkowski

Kisiel

2015

Advances in Intelligent Systems and Computing

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Abstract. The article presents a developed universal simulation model supporting the design process of the security control area at the airport. The universality of the simulation model allows for its use for the adaptation of the size of the security control area which consists of security check stations with a single flow of passenger streams to the forecast intensity of reporting passengers. The presented model is mostly intended for regional airports, where the security control is conducted using a metal detector and an x-ray device. The functional readiness of the designed system is analysed in terms of the forecast intensity of passenger reports. The functioning of the simulation model is based on time characteristics determined on the basis of research conducted on a real system which allowed for the verification of the functioning of the model. It is also possible to introduce one's own characteristics to optimise another existing real system.

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Section: Fig 1 Example Of the Security Control Process Diagrammentioning

confidence: 99%

Functional Readiness of the Security Control System at an Airport with Single-Report Streams

Kierzkowski

Kisiel

2015

Advances in Intelligent Systems and Computing

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“…It can be applicable in other environments too. e purpose of this work is to enable its user (the railway infrastructure administrator running the railway station) to simulate different possible distributions of these windows with a computer tool that allows choosing the best option for windows distribution along time, after performing and comparing different microscopic simulations (as proposed in [1]). e intended user of the software developed is the person in charge of assigning the type of passengers each window of the ticket office will serve.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, we humbly consider that the new work has interest in real life. Consider, for instance, that [1] describes a similar tailormade software developed within the frame of a research project for an aeronautical consulting regarding a microscopic simulation of the passengers' flow in a real airport, running with extremely detailed real data provided by the airport authorities, and the situation addressed here is relatively similar (see the next paragraph). e second author was the main researcher of that research project and he was also one of the authors of the article "An Accelerated-Time Microscopic Simulation of a Dedicated Freight Double-Track Railway Line" [2], developed in cooperation with the Spanish Railway Foundation.…”

Section: Introductionmentioning

confidence: 99%

An Accelerated-Time Simulation of Queues at Ticket Offices at Railway Stations

Almech

Roanes–Lozano

2021

Mathematical Problems in Engineering

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Although nowadays many railway tickets are bought online, still many are bought through rail appointed travel agents and ticket offices at stations. There are several works on microscopic and accelerated-time simulations, some of them related to the topic of this paper, treating passengers movements in railway stations (both of general purpose and also with a focus on specific topics like evacuation, stations design, ticketing, etc.). We focus on a very specific topic: modelling queuing at ticket offices at a main Spanish station where “AVE” (“High-Speed”), “Larga Distancia” (“Long-Distance”), “Media Distancia” (“Middle-Distance”), and “Cercanías” (“Suburban Services”) dedicated windows exist. The existence of “Last Minute” desks is also considered. The goal is to provide the user with a tool that allows to choose the best option for windows distribution along time, after different microscopic simulations based on given data and windows possible distribution are performed (as done in a previous work of one of the authors for airport terminals check-in counters). Special attention is paid to “Last Minute” windows and shared windows (for example simultaneously selling tickets for “Larga Distancia” and “Media Distancia”). Input is given by arrival curves or can be generated by the package. The output is the detailed situation of any window at any moment and the evolution of queues by train or window type. There are different further possible extensions of this work. The implementation has been developed in a computer algebra system in order to minimize the development time.

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“…To date, a number of models have been developed to simulate passengers' behaviour inside airport terminals, and are classified as macroscopic or microscopic. The former is often used to analyse queues [8]; the latter is necessary for reliable and detailed evaluation of the complex movements of every passenger [9].…”

Section: Introductionmentioning

confidence: 99%

How to drive passenger airport experience: a decision support system based on user profile

Rossi

Gastaldi

Orsini

2018

IET Intelligent Transport Systems

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An accelerated-time simulation of departing passengers’ flow in airport terminals

Cited by 24 publications

References 3 publications

Functional Readiness of the Security Control System at an Airport with Single-Report Streams

Functional Readiness of the Security Control System at an Airport with Single-Report Streams

An Accelerated-Time Simulation of Queues at Ticket Offices at Railway Stations

How to drive passenger airport experience: a decision support system based on user profile

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