How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study
Work-related road deaths are the leading cause of occupational death. These traffic accidents contribute to at least one quarter all work-related deaths. Key risk factors associated with driving for work are driver fatigue and speeding. Driver fatigue is the growing problem of the new era. Due to tr...
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2025-02-01
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| Series: | Promet (Zagreb) |
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| Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/620 |
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| author | Jelica DAVIDOVIĆ Dalibor PEŠIĆ Boris ANTIĆ |
| author_facet | Jelica DAVIDOVIĆ Dalibor PEŠIĆ Boris ANTIĆ |
| author_sort | Jelica DAVIDOVIĆ |
| collection | DOAJ |
| description | Work-related road deaths are the leading cause of occupational death. These traffic accidents contribute to at least one quarter all work-related deaths. Key risk factors associated with driving for work are driver fatigue and speeding. Driver fatigue is the growing problem of the new era. Due to traffic exposure, commercial vehicles are identified as a particularly risky category. According to traffic accident data, depending on the country, the percentage of traffic accidents caused by driver fatigue ranges up to 40%. In this paper, we used a unique procedure for identifying fatigue based on eleven factors, using expert knowledge, budget allocation and the composite rank method. The case study was realised in the Republic of Serbia, which is a country with a huge professional drivers deficiency problem. The main objective of this paper is to present an approach to reducing work-related road deaths to reach vision zero, based on a model for identifying commercial vehicle driver fatigue before the drivers start their shift. The advantage of this model is that it does not distract the driver in any way while driving and is based on objective data. It does not require recording the driver with a camera or hooking up to an electrode to record heart or brain activity. |
| format | Article |
| id | doaj-art-68d44b4ac82b4e71b33fb4b08ddf8414 |
| institution | Kabale University |
| issn | 0353-5320 1848-4069 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
| record_format | Article |
| series | Promet (Zagreb) |
| spelling | doaj-art-68d44b4ac82b4e71b33fb4b08ddf84142025-02-06T12:36:20ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692025-02-01371364910.7307/ptt.v37i1.620620How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case StudyJelica DAVIDOVIĆ0Dalibor PEŠIĆ1Boris ANTIĆ2University of Belgrade, Faculty of Transport and Traffic EngineeringUniversity of Belgrade, Faculty of Transport and Traffic EngineeringUniversity of Belgrade, Faculty of Transport and Traffic EngineeringWork-related road deaths are the leading cause of occupational death. These traffic accidents contribute to at least one quarter all work-related deaths. Key risk factors associated with driving for work are driver fatigue and speeding. Driver fatigue is the growing problem of the new era. Due to traffic exposure, commercial vehicles are identified as a particularly risky category. According to traffic accident data, depending on the country, the percentage of traffic accidents caused by driver fatigue ranges up to 40%. In this paper, we used a unique procedure for identifying fatigue based on eleven factors, using expert knowledge, budget allocation and the composite rank method. The case study was realised in the Republic of Serbia, which is a country with a huge professional drivers deficiency problem. The main objective of this paper is to present an approach to reducing work-related road deaths to reach vision zero, based on a model for identifying commercial vehicle driver fatigue before the drivers start their shift. The advantage of this model is that it does not distract the driver in any way while driving and is based on objective data. It does not require recording the driver with a camera or hooking up to an electrode to record heart or brain activity.https://traffic2.fpz.hr/index.php/PROMTT/article/view/620work related road deathsfatigueroad safetycommercial vehicle driversroad safety performance indicatorsnew fatigue identification model |
| spellingShingle | Jelica DAVIDOVIĆ Dalibor PEŠIĆ Boris ANTIĆ How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study Promet (Zagreb) work related road deaths fatigue road safety commercial vehicle drivers road safety performance indicators new fatigue identification model |
| title | How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study |
| title_full | How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study |
| title_fullStr | How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study |
| title_full_unstemmed | How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study |
| title_short | How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study |
| title_sort | how to reduce work related road deaths driver fatigue monitoring case study |
| topic | work related road deaths fatigue road safety commercial vehicle drivers road safety performance indicators new fatigue identification model |
| url | https://traffic2.fpz.hr/index.php/PROMTT/article/view/620 |
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