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Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method
Safety of passenger road transportation (PRT) is a global problem considered by scientists. The present study is aimed at PRT safety improvement by developing its advanced model with accident risk minimization. Functional Resonance Analysis Method is used to identify factors influencing PRT safety....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713334/ https://www.ncbi.nlm.nih.gov/pubmed/36468135 http://dx.doi.org/10.1016/j.heliyon.2022.e11814 |
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author | Bazaluk, Oleg Koriashkina, Larysa Cheberiachko, Serhii Deryugin, Oleg Odnovol, Mykola Lozynskyi, Vasyl Nesterova, Olha |
author_facet | Bazaluk, Oleg Koriashkina, Larysa Cheberiachko, Serhii Deryugin, Oleg Odnovol, Mykola Lozynskyi, Vasyl Nesterova, Olha |
author_sort | Bazaluk, Oleg |
collection | PubMed |
description | Safety of passenger road transportation (PRT) is a global problem considered by scientists. The present study is aimed at PRT safety improvement by developing its advanced model with accident risk minimization. Functional Resonance Analysis Method is used to identify factors influencing PRT safety. Accident risk assessment of the combined action of several factors in PRT is based on a phenomenological model. Possible good and bad PRT scenarios were considered differing in the staff professional experience, work shift duration, speed, vehicle service lifetime, and driver's stress load. Method for quantitative assessment of five main functions in PRT with their variability caused by parameters changes was designed. The proposed criteria were used to assess the parameter's deviations from their normative values and determine the major characteristics of each function. The recommendations for monitoring the driver's psychophysiological state at all transportation stages were developed and the relationship of transportation functions characteristics and criteria affecting passenger safety was established. This methodology enables assessing the PRT reliability level at a certain time. The approach allows evaluating the criteria affecting traffic safety, identifying their potential functionally resonant effect for abnormal PRT due to conditional changes; developing mechanisms to reduce accident risks by improving technical and organizational management. |
format | Online Article Text |
id | pubmed-9713334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97133342022-12-02 Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method Bazaluk, Oleg Koriashkina, Larysa Cheberiachko, Serhii Deryugin, Oleg Odnovol, Mykola Lozynskyi, Vasyl Nesterova, Olha Heliyon Research Article Safety of passenger road transportation (PRT) is a global problem considered by scientists. The present study is aimed at PRT safety improvement by developing its advanced model with accident risk minimization. Functional Resonance Analysis Method is used to identify factors influencing PRT safety. Accident risk assessment of the combined action of several factors in PRT is based on a phenomenological model. Possible good and bad PRT scenarios were considered differing in the staff professional experience, work shift duration, speed, vehicle service lifetime, and driver's stress load. Method for quantitative assessment of five main functions in PRT with their variability caused by parameters changes was designed. The proposed criteria were used to assess the parameter's deviations from their normative values and determine the major characteristics of each function. The recommendations for monitoring the driver's psychophysiological state at all transportation stages were developed and the relationship of transportation functions characteristics and criteria affecting passenger safety was established. This methodology enables assessing the PRT reliability level at a certain time. The approach allows evaluating the criteria affecting traffic safety, identifying their potential functionally resonant effect for abnormal PRT due to conditional changes; developing mechanisms to reduce accident risks by improving technical and organizational management. Elsevier 2022-11-23 /pmc/articles/PMC9713334/ /pubmed/36468135 http://dx.doi.org/10.1016/j.heliyon.2022.e11814 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Bazaluk, Oleg Koriashkina, Larysa Cheberiachko, Serhii Deryugin, Oleg Odnovol, Mykola Lozynskyi, Vasyl Nesterova, Olha Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method |
title | Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method |
title_full | Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method |
title_fullStr | Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method |
title_full_unstemmed | Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method |
title_short | Methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method |
title_sort | methodology for assessing the risk of incidents during passenger road transportation using the functional resonance analysis method |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713334/ https://www.ncbi.nlm.nih.gov/pubmed/36468135 http://dx.doi.org/10.1016/j.heliyon.2022.e11814 |
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