1. Attention allocation and gaze behavior while driving: a comparison among young, middle-aged and elderly driversAnamarija Poll, Tomaž Tollazzi, Chiara Gruden, 2025, original scientific article Abstract: In 2023, 95.5 million Europeans were aged over 65, falling within the definition of the “elderly population”. According to statistics, this number will rise to 129.8 million by 2050, making Europe the oldest continent in the world. One of the consequences of such growth is a sharp increase in the number of elderly drivers. Although they have more experience, which can positively impact road safety, their performance and health generally decline, limiting some of the physical and mental abilities required for safe vehicle control. The main objective of this research was to shed light on the behavior of elderly drivers by comparing three different drivers’ age groups: young, middle-aged and elderly drivers. Based on analysis of road accidents involving elderly drivers, the road safety situation for elderly drivers in Slovenia was highlighted, a questionnaire was developed to understand how elderly drivers perceive traffic, and an experiment was conducted where 30 volunteers were tested using a driving simulator and eye-tracking glasses. Objective driving and gaze behavior data were obtained, and very different performance was found among the three age groups, with elderly drivers having poorer reaction times and overlooking many elements compared to younger drivers.
Keywords: road safety, sustainable safety, elderly drivers, gaze behavior, driving simulator
Published in DKUM: 03.11.2025; Views: 0; Downloads: 9
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2. The use of intelligent transport systems in the operation of driving schools : master's thesisNikola Božinić, 2022, master's thesis Abstract: The aim of the master's thesis was to conduct research on the use of intelligent transport systems in the current training of future drivers and their knowledge of the content and also knowledge of the content of employees in teh field of training of future drivers The current methods of driver training in individual countries are presented, with a more detailed description of their implementation and the method of testing the acquired knowledge. At the same time, the survey was conducted in the Republic of Croatia and the information on how well people are generally familiar with the knowledge of intelligent transport systems, how they apply them and what do they consider as usable intelligent systems were collected. The research was also conducted among employees in the field of training of future drivers, also in the Republic of Croatia, where were obtained on what changes employees believe have to be done, or how changes in the automotive industry could affect their work, such as is the phenomenon of autonomous driving. After that, a comparison of driver training nowadays wth the proposal of future training with the use of intelligent transport systems is presented.
Keywords: novice drivers, traffic safety, driving education, intelligent vehicle systems, autonomous driving
Published in DKUM: 29.08.2022; Views: 533; Downloads: 47
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3. Passive testing of highly automated driving systems : master's thesisLuka Šelih, 2021, master's thesis Abstract: Driver assistance systems and automated driving have become one of the most important components of new vehicles. Enormous progress has been made with developing algorithms for autonomous control and perception, but the problems of safety validation remain. In this master thesis, we first briefly summarise safety and testing approaches in autonomous driving. Then we propose our own approach for testing automated/autonomous driving, which we call "Passive parallel Testing". The approach focuses on detecting discrepancies between the human driver and the control of the automated driving function, thus identifying potentially critical situations. The test method is demonstrated at the end in a simulation with the CARLA simulator.
Keywords: autonomous driving, testing, safety, CARLA, AEB
Published in DKUM: 18.10.2021; Views: 764; Downloads: 99
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4. Prevention of wrong-way driving on freewaysDarja Topolšek, 2007, review article Abstract: Traffic accidents that occur on freeways often end tragically because of high driving speed. Wrong-way driving is also one of the causes of accidents on freeways. Research is based on the analysis of traffic accident data caused by wrong-way driving on freeways and considering valid technical specifications for connections and junctions design elements. Research is based on the analysis of the data of traffic accidents that occurred because of wrong-way driving on freeways and on the consideration of valid technical specifications concerning connections and junction design elements. The thesis presents possible countermeasures for prevention of wrong-way driving and consequential decrease in the number of traffic accidents. The proposed prevention countermeasures of wrong-way driving on freeways could greatly reduce incorrect traffic vehicle movements that are the consequence of wrong-way driving and thus positively enhance the traffic safety level on freeways.
Keywords: wrong-way driving, freeway, multilevel connections, multilevel junctions, traffic safety, traffic accidents, countermeasures
Published in DKUM: 05.06.2017; Views: 1750; Downloads: 305
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