Applications of fuzzy logic in explainnig driver behavior

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F25%3A39923836" target="_blank" >RIV/00216275:25510/25:39923836 - isvavai.cz</a>

Výsledek na webu

<a href="https://plus-legacy.cobiss.net/cobiss/sr/en/bib/182798857#full" target="_blank" >https://plus-legacy.cobiss.net/cobiss/sr/en/bib/182798857#full</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Applications of fuzzy logic in explainnig driver behavior

Popis výsledku v původním jazyce

This scientific monograph comprehensively addresses the theoretical and practical aspects of driver behavior modeling aiming to improve road safety, representing a methodological shift from traditional statistical techniques to advanced approaches utilizing fuzzy logic and meta-heuristic algorithms. The publication, which summarizes the authors&apos; long-term research based on works indexed in the Web of Science, is divided into three main parts that successively analyze risks associated with mobile phone use or the perception of spatial objects and speed using statistical methods, subsequently apply fuzzy logic for the selection of professional drivers and the assessment of accident proneness, and finally demonstrate the use of meta-heuristic algorithms, such as Bee Colony Optimization, for examining the influence of personality traits and speed perception on accident rates. The work thus provides new tools and models for the analysis and prevention of risky behavior in traffic, thereby contributing to the development of traffic psychology, traffic safety, and the field of optimization algorithms.

Název v anglickém jazyce

Applications of fuzzy logic in explainnig driver behavior

Popis výsledku anglicky

This scientific monograph comprehensively addresses the theoretical and practical aspects of driver behavior modeling aiming to improve road safety, representing a methodological shift from traditional statistical techniques to advanced approaches utilizing fuzzy logic and meta-heuristic algorithms. The publication, which summarizes the authors&apos; long-term research based on works indexed in the Web of Science, is divided into three main parts that successively analyze risks associated with mobile phone use or the perception of spatial objects and speed using statistical methods, subsequently apply fuzzy logic for the selection of professional drivers and the assessment of accident proneness, and finally demonstrate the use of meta-heuristic algorithms, such as Bee Colony Optimization, for examining the influence of personality traits and speed perception on accident rates. The work thus provides new tools and models for the analysis and prevention of risky behavior in traffic, thereby contributing to the development of traffic psychology, traffic safety, and the field of optimization algorithms.

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

20100 - Civil engineering

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-86-7395-507-0

Počet stran knihy

242

Název nakladatele

University of Belgrade

Místo vydání

Belgrade

Kód UT WoS knihy

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