A fuzzy model for evaluating airport security screeners' work

Skorupski, Jacek; Uchroński, Piotr

doi:10.1016/j.jairtraman.2015.06.011

Cited by 27 publications

(12 citation statements)

References 25 publications

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“…The Marquast method is used to transform the nonlinear inverse logistic model into a linear equation and estimate the parameters of the nonlinear regression model. The transformed inverse logistic curve formula is shown in Equation (16).…”

Section: The Parameter Estimation For Inverse Logistic Modelmentioning

confidence: 99%

“…Additionally, a resulting optimal assignment policy was formulated to increase security and throughput by efficiently and effectively utilizing available screening resources [12]. Skorupski and Uchroński [16] explored the subjective factors that influence the effectiveness of SCS and took human factors into account in the screening process. Later, Skorupski and Uchroński [17] proposed a quantitative method for evaluating the effectiveness of walk-through metal detectors that were demonstrated to be very effective at assisting airport managers in selecting and configuring the equipment used at airport security screening checkpoints.…”

Section: Introductionmentioning

confidence: 99%

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Optimization Design of X-ray Conveyer Belt Length for Subway Security Check Systems in Beijing, China

et al. 2020

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The frequent terrorist attacks in subways has dramatically increased the necessity and importance of security check systems (SCSs). The implementation of a SCS in China has successfully eliminated lots of potential safety hazards. However, the excessive waiting time due to the SCS is also an issue. SCS efficiency is greatly affected by the length of the conveyer belt of the X-ray machine (CBXM). A scheme for optimizing the CBXM length to accommodate different passenger flows is proposed in this paper. A modeling framework is developed for associating the CBXM length with the queuing waiting time based on a M/M/1/N queuing model. The optimal scheme of CBXM length calculated from the model demonstrates that the passenger queuing time is saved by 15.7%, 16.0%, and 23.3% with the passenger arrival rate of 4000, 5000, and 6000, respectively, greatly reducing queuing crowdedness. The scheme can be used to select X-ray machines for subway stations by their passenger arrival rates. In addition, the findings of this paper could be a crucial supplement and perfect the design code of subway SCSs.

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Section: The Parameter Estimation For Inverse Logistic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization Design of X-ray Conveyer Belt Length for Subway Security Check Systems in Beijing, China

et al. 2020

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“…All of them constitute the input variables for the local fuzzy model whose output is the linguistic variable Operator's assessment (y p ). The details of this model are presented in Skorupski and Uchroń ski (2015c). In our work we treat the linguistic variable Operator's assessment as the input for the model SCO control.…”

Section: Input Variable Operator's Assessmentmentioning

confidence: 99%

“…An actual group of SCOs working on one shift at the Katowice-Pyrzowice International Airport. The group was assessed in detail in Skorupski and Uchroń ski (2015c). It consists of six persons and their group rating obtained in this work is y DP = 4.46.…”

Section: Sample Assessment Of the Effectiveness Of Scos In Baggage Sementioning

confidence: 99%

Fuzzy inference system for the efficiency assessment of hold baggage security control at the airport

Skorupski

Uchroński

2015

Safety Science

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“…Psychological aspects of pilots' behavior were analyzed by Wanyan et al [32]. The research by Lu and Huang [33] and Skorupski and Uchroński [34,35] includes the attempt of airport security assessment where the human factor was partly taken into consideration. The other examples of fuzzy methods utilization in air traffic management can be found in [36,37].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Errors in Visualization Systems on the Level of Safety Threat in Air Traffic

Ferduła

Skorupski

2018

Journal of Advanced Transportation

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Air traffic management is carried out by air traffic controllers assisted by complex technical systems that provide them with visualization of the traffic situation. In practice, visualization systems errors sometimes occur. The purpose of this paper is to determine the impact of errors of different types on the safety of the air traffic. The assessment of the threat level is influenced by subjective factors and cannot be expressed precisely. Therefore, the fuzzy reasoning theory has been used. The developed fuzzy model has been used to obtain a tool for simulation of the impact of various factors on traffic safety assessment. The results obtained indicate that the most important determinants of safety are the time when the air traffic controller remains unaware of the breakdown and the total time he/she does not have full knowledge of the traffic situation. It has been found that the key role for the proper operation of the air traffic visualization system and the restoration of full situational awareness is played by self-diagnostic systems that can restore the system's correct functioning without even the controller being aware of the error occurrence. Their role in ensuring safety might be even greater than redundancy which is commonly used.

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A fuzzy model for evaluating airport security screeners' work

Cited by 27 publications

References 25 publications

Optimization Design of X-ray Conveyer Belt Length for Subway Security Check Systems in Beijing, China

Optimization Design of X-ray Conveyer Belt Length for Subway Security Check Systems in Beijing, China

Fuzzy inference system for the efficiency assessment of hold baggage security control at the airport

The Influence of Errors in Visualization Systems on the Level of Safety Threat in Air Traffic

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