Framework for Airport Outbound Passenger Flow Modelling

Alodhaibi, Sultan S.; Burdett, Robert L.; Yarlagadda, Prasad K.D.V.

doi:10.1016/j.proeng.2017.01.263

Cited by 41 publications

(23 citation statements)

References 4 publications

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“…This section introduces a generic framework for modelling the flow of passengers through an airport terminal involving both inbound and outbound processing points (see Figure 1). Each system has its own particular flow, and each system requires different infrastructure and services [18]. The model describes the potential interactions between inbound passengers and outbound passengers, resulting in competing priorities regarding physical space.…”

Section: Modelling Approach and Designmentioning

confidence: 99%

A Framework for Sharing Staff between Outbound and Inbound Airport Processes

2020

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This paper proposes an advanced simulation-optimization approach to evaluate and optimize the passenger flows within international airports. This approach allocates resources intelligently during the simulation process and balances demand and service quality. The resource allocation performed by our Advanced Resource Management (ARM) algorithm was used to develop an integrated system for arranging resources, identifying the proper resources, and allocating them throughout the model. It was used to investigate the influences of different staff allocation techniques on the inbound and outbound processes of an airport terminal. The purpose of the proposed simulation-optimization approach is to enhance passenger satisfaction through ensuring reasonable wait times during processing at the lowest cost possible (minimal staff hours).

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Section: Modelling Approach and Designmentioning

confidence: 99%

A Framework for Sharing Staff between Outbound and Inbound Airport Processes

2020

Self Cite

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“…Finally, model-based techniques have implemented by the researchers [14][15][16] to find the region of interest of the images using prior knowledge. Prior knowledge is based on training a classifier or template matching.…”

Section: Introductionmentioning

confidence: 99%

“…Passengers may be counted by seat occupation. Seat and passenger modelbased detection and counting algorithms are also implemented in references [16,17]. The use of pressure sensors has also been tried to count passengers which is expensive due to high hardware cost and pressure sensors [18].…”

Section: Introductionmentioning

confidence: 99%

Passenger Detection and Counting for Public Transport System

Khan

Yousaf

Murtaza

et al. 2020

NEDJR

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Implementing accurate and reliable passenger detection and counting system is an important task for the correct distribution of available transport system. The aim of this paper is to develop an accurate computer vision-based system to track and count passengers. The proposed passenger detection system incorporates the ideas of well-established detection techniques and is optimally customised for both indoor and outdoor scenarios. The candidate foreground regions (inside an image) are extracted in the proposed method and are described using the histograms of oriented gradient descriptor. These features are trained and tested using support vector machine classifier and the detected passengers are tracked using a filter. The proposed counting system is used to count passengers automatically when they pass through a virtual line of interest. Accuracies ranging 91.2 percent to 86.24 percent were found for passenger detection using the proposed passenger detection and counting system whereas relative counting errors varied ten percent to thirteen percent.

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“…The airport management weighs the decisions in order to meet the demands of the airline operators within the service and the security criteria determined by the aviation authorities and to implement the suggestions to improve the operational processes. Although the processes at airports are basically similar, services offered at airports may vary depending on the number of passengers and the size of the airport [2]. Because of the annual increase in the number of passengers and flights in airports under normal conditions, the airport's performance may decrease to a certain extent from year to year.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Managing Airport Passenger Flow: A Case of Hasan Polatkan Airport in Turkey

Orhan

2020

IJAST

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The airport passenger flow process is an integrated system in which passengers interact with multiple components of the system, and a failure in one component can cause greater disruption in others because of time-related constraints. Airport operators analyse and decide the results by using decision support systems under the airport management strategies by determining the potential congestion and related problems such as capacity limitations or equipment malfunctions. In this study, airport systems handle the passenger flow that covers all activities between the airport entrance and boarding. Discrete event simulation was used to assess the passenger flow and performing the activities in the related processes. The model comprises security screening, check-in, passport control and boarding processes. Within the proposed model, points with potential bottlenecks in Hasan Polatkan Airport have estimated according to International Air Transport Association (IATA) performance values.

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Framework for Airport Outbound Passenger Flow Modelling

Cited by 41 publications

References 4 publications

A Framework for Sharing Staff between Outbound and Inbound Airport Processes

A Framework for Sharing Staff between Outbound and Inbound Airport Processes

Passenger Detection and Counting for Public Transport System

Modelling and Managing Airport Passenger Flow: A Case of Hasan Polatkan Airport in Turkey

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