A Decision-making Model for Explaining Driver Behaviour

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dc.contributor.author Čubranić-Dobrodolac, Marjana
dc.date.accessioned 2021-04-08T04:19:19Z
dc.date.available 2021-04-08T04:19:19Z
dc.date.issued 2021
dc.date.submitted 2021-01-07
dc.identifier.uri https://hdl.handle.net/10195/76974
dc.description.abstract The main topic of this dissertation is the modeling of driver behavior based on an examination of their psychological traits. After a detailed review of relevant literature, five questionnaires have been prepared to collect the data. Four questionnaires are related to testing the psychological constructs of drivers and an additional one is a demographical and driving history questionnaire. A survey was carried out at the sample of 305 drivers, from which there were 202 professional drivers and 103 drivers of privately owned vehicles. The data were processed by two general approaches: statistical and fuzzy logic. The implemented statistical methods are hierarchical regression analysis and binary logistic regression. The driver behavior is modeled by fuzzy inference systems where the inputs are the results from psychological tests and the output is the number of experienced road traffic accidents in driving history. The performance of a fuzzy inference system that can be considered as a decision?]making tool for explaining driver behavior, is further enhanced, in the sense of adjusting its results to the empirical data, by applying the bee colony optimization metaheuristic. Based on the obtained results, adequate recommendations for traffic safety improvement are proposed. cze
dc.language.iso cze
dc.publisher Univerzita Pardubice cze
dc.rights Bez omezení
dc.subject psychological traits cze
dc.subject driver behavior cze
dc.subject traffic accidents cze
dc.subject hierarchical regression analysis cze
dc.subject binary logistic regression cze
dc.subject fuzzy inference system cze
dc.subject bee colony optimization cze
dc.subject psychological traits eng
dc.subject driver behavior eng
dc.subject traffic accidents eng
dc.subject hierarchical regression analysis eng
dc.subject binary logistic regression eng
dc.subject fuzzy inference system eng
dc.subject bee colony optimization eng
dc.title A Decision-making Model for Explaining Driver Behaviour cze
dc.title.alternative A Decision-making Model for Explaining Driver Behaviour eng
dc.type disertační práce cze
dc.contributor.referee Frič, Jindřich
dc.contributor.referee Nedeliaková, Eva
dc.contributor.referee Vysoký, Petr
dc.date.accepted 2021-03-12
dc.description.abstract-translated The main topic of this dissertation is the modeling of driver behavior based on an examination of their psychological traits. After a detailed review of relevant literature, five questionnaires have been prepared to collect the data. Four questionnaires are related to testing the psychological constructs of drivers and an additional one is a demographical and driving history questionnaire. A survey was carried out at the sample of 305 drivers, from which there were 202 professional drivers and 103 drivers of privately owned vehicles. The data were processed by two general approaches: statistical and fuzzy logic. The implemented statistical methods are hierarchical regression analysis and binary logistic regression. The driver behavior is modeled by fuzzy inference systems where the inputs are the results from psychological tests and the output is the number of experienced road traffic accidents in driving history. The performance of a fuzzy inference system that can be considered as a decision?]making tool for explaining driver behavior, is further enhanced, in the sense of adjusting its results to the empirical data, by applying the bee colony optimization metaheuristic. Based on the obtained results, adequate recommendations for traffic safety improvement are proposed. eng
dc.description.department Dopravní fakulta Jana Pernera cze
dc.thesis.degree-discipline Technologie a management v dopravě a telekomunikacích: Management cze
dc.thesis.degree-name Ph.D.
dc.thesis.degree-grantor Univerzita Pardubice. Dopravní fakulta Jana Pernera cze
dc.thesis.degree-program Technika a technologie v dopravě a spojích cze
dc.description.defence Po představení doktorandky byla komise seznámena se stanoviskem školitele a vedoucím školícího pracoviště k disertační práci. Doktorandka seznámil komisi se svojí disertační prací formou prezentace. Poté byly předneseny posudky oponentů a doktorandka uspokojivě reagovala na připomínky oponentů. V následné veřejné diskusi byly zodpovězeny otázky členů komise, které jsou uvedeny na samostatných listech. Na závěr proběhlo tajné hlasování. Protokol o výsledcích hlasování tvoří samostatnou přílohu. cze
dc.identifier.stag 42279
dc.description.grade Dokončená práce s úspěšnou obhajobou cze


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