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Warianty tytułu
Języki publikacji
Abstrakty
Road accidents are an inevitable part of road traffic. Those involving trucks and vulnerable road users are especially tragic. Multiple solutions are proposed to deal with this problem. Among them is the idea of using camera-monitor systems instead of traditional exterior mirrors. The paper presents the results of a pilot study conducted in the practice yard using two trucks. One was equipped with the camera-monitor system replacing exterior side mirrors, and the other was equipped with traditional mirrors. The systems’ usability was compared in the practice yard based on two scenarios. Eye tracking was used as a method of perception assessment to assess whether the driver noticed a potentially dangerous situation and objectively measure the time needed for the driver to scan the surroundings. The number and duration of detected eye movements were measured and analyzed. The results for both types of devices for indirect vision were compared. This made it possible to determine the number of obstacles that the driver overlooked. The results for both types of devices were similar and suggest the need to supplement existing devices for indirect vision with additional systems that could help drivers detect hazards. However, the comparison of indirect fields of view suggested a slight superiority of the camera-monitor system.
Czasopismo
Rocznik
Tom
Strony
111--124
Opis fizyczny
Bibliogr. 39 poz.
Twórcy
autor
- Cracow University of Technology, Faculty of Mechanical Engineering; al. Jana Pawła II 37, 31-864 Kraków, Poland
Bibliografia
- 1. Global Status Report on Road Safety 2018. Switzerland: World Health Organization. 2018. Available at: https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/.
- 2. Southall, D. & Tait, R. & Walsh, T. Drivers’ field of view from large vehicles Phase 2: Report. Longhborough: The Department of Environment,Transport and the Regions. 1998. Available at: https://repository.lboro.ac.uk/articles/report/Driver_s_field_of_view_from_large_vehicles_phase_2_-_report/9353579?file=16963370.
- 3. Ascone, D. & Lindsey, T. & Varghese, C. An examination of driver distraction as recorded in NHTSA databases. National Center for Statistics and Analysis. 2009. Available at: https://www.nhtsa.gov/document/examination-driver-distraction-recorded-nhtsa-databases.
- 4. Stutts, J.C. & Reinfurt, D.W. & Staplin, L. & Rodgman, EA. The role of driver distraction in traffic crashes. Washington, DC: AAA Foundation for Traffic Safety. 2001. Available at: https://www.forces-nl.org/download/distraction.pdf.
- 5. Wypadki drogowe w Polsce w 2019 roku. Warszawa: Komenda Główna Policji Biuro Ruchu Drogowego. 2020. Available at: https://statystyka.policja.pl/st/ruch-drogowy/76562,Wypadki-drogowe-raporty-roczne.html. [In Polish: Road accidents in Poland in 2019. Police Headquarters, Road Traffic Office].
- 6. Ignacz, F. & Bell, M. Presentation of visibility tests performed from the truck driver cabin; development and validation of visibility field models. In: Proceedings 19th EVU Congress. Prague. 2010. P. 337-348.
- 7. Thomas, P. & Talbot, R. & Reed, S. & Barnes, J. & Christie, N. Fatal urban cyclist collisions with lorries: an in-depth study of causation factors and countermeasures using a system-based approach. In: The 24th ESV Conference Proceedings. Gothenburg. 2015. P. 1-11.
- 8. Richter, T. & Sachs, J. Turning accidents between cars and trucks and cyclists driving straight ahead. Transportation Research Procedia. 2017. Vol. 25. P. 1946-1954.
- 9. Shah, S.M. & Zhaoyun, S. & Zaman, K. & Hussain, A. & Shoaib, M. & Lili, P. A driver gaze estimation method based on deep learning. Sensors. 2022. Vol. 22(10). No. 3959. P. 1-22.
- 10. Xu, J. & Min, J. & Hu, J. Real-time eye tracking for the assessment of driver fatigue. Healthcare Technology Letters. 2018. Vol. 5. No. 2. P. 54-58.
- 11. Hayo, F. & Weyde, M.S. Preventing accidents between right turning lorries and unprotected road users. In: EVU Proceedings 25th Annual Congress. Bratislava. 2016. P. 293-307.
- 12. Cole, B.L. & Jenkins, S.E. The effect of variability of background elements on the conspicuity of objects. Vision Research. 1984. Vol. 24. No. 3. P. 261-270.
- 13. Directive 2007/38/EC of the European Parliament and of the Council of 11 July 2007 on the retrofitting of mirrors to heavy goods vehicles registered in the Community. The European Parliament and the Council. 2007. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32007L0038.
- 14. Regulation (EU) 2019/2144 of the European Parliament and of the Council of 27 November 2019 on type-approval requirements for motor vehicles and their trailers, and systems, components and separate technical units intended for such vehicles, as regards their general safety and the protection of vehicle occupants and vulnerable road users. The European Parliament and The Council. 2019. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32019R2144.
- 15. EU Road to Safety: Towards “Vision Zero”, European Union: European Climate, Infrastructure and Environment Executive Agency (CINEA). 2022 Available at: https://cinea.ec.europa.eu/system/files/2023-02/H2020%20Transport-Road%20Safety%202022-web.pdf.
- 16. Man, D. & Olchawa, R. The possibilies of using BCI technology in biomedical engineering. In: Biomedical Engineering and Neuroscience. Advances in Intelligent Systems and Computing. 2018. Vol. 720. P. 30-37
- 17. Wade, N.J. Pioneers of eye movement research. In: Perception. 2010. Vol. 1. No. 2. P. 33-68.
- 18. Van Gompel, R. Eye Movements: A window on Mind and Brain. 1st ed. Elsevier: 2007. 755 p.
- 19. Holmqvist, K. & Andersson, R. Eye-tracking: A Comprehensive Guide to Methods, Paradigms, and Measures. 2nd ed. Lund: Lund Eye-Tracking Research Institute. 2017. 521 p.
- 20. Nego, S. & Mitra, R. Fixation duration and the learning process: an eye-tracking study with subtitles videos. Journal of Eye Movement Research. 2020. Vol. 13(6). No. 1. P. 1-15.
- 21. Kapitaniak, B. & Walczak, M. & Kosobudzki, M. & Jóźwiak, Z. & Bortkiewicz, A. Application of eye-tracking in drivers testing: A review of research. International Journal of Occupational Medicine and Environmental Health. 2015. Vol. 28. No. 6. P. 941-954.
- 22. Soluch, P. & Tarnowski, A. O metodologii badań eyetrackingowych. Lingwistyka Stosowana. 2013. Vol. 7. No. 7. P. 115-134. [In Polish: About methodology of eye-tracking research. Applied Linguistics].
- 23. Grobelny, J. & Jach, K. & Kuliński, M. & Michalski, R. Śledzenie wzroku w badaniach jakości użytkowej oprogramowania. Historia i mierniki. Konferencja: „Interfejs użytkownika - Kansei w praktyce”. Warszawa, 2006. P. 1-9. [In Polish: Eye tracking in software usability research. History and metrics. Conference: "User interface - Kansei in practice"]. Available at: http://repin.pjwstk.edu.pl:8080/xmlui/bitstream/handle/186319/166/Kansei%202006_Grobelny.pdf ?sequence=1.
- 24. Młodkowski, J. Aktywność wizualna człowieka. Warszawa: PWN. 1998. 395 p. [In Polish: Human visual activity].
- 25. ViewPoint System. User Manual. Model: VPS 16. 2016.
- 26. Just, M.A. & Carpenter, P.A. A theory of reading: From eye fixations to comprehension. Psychological Review. 1980. Vol. 87. No. 4. P. 329-354.
- 27. Pfleger, E. Blink Analyses and Driver Attention. In: Proceedings of the 1st joint ITAI-EVU Conference: 18th EVU Conference, 9th ITAI Conference. Hinckley, 2009. P. 25-32.
- 28. Said, S. & Alkork, S. & Beyrouthy, T. & Hassan, M. & Abdellatif, O.E. & Fayek Abdraboo, M. Real time eye tracking and detection - a driving assistance system. Advances in Science, Technology and Engineering Systems. 2018. Vol. 3. No. 6. P. 446-454.
- 29. Khan, M.Q. & Lee, S. Gaze and eye tracking: Techniques and applications in ADAS. Sensors. 2019. Vol. 19(24). No. 5540. P. 1-36.
- 30. Lim, Y. & Gardi, A. & Pongsakornsathien, N. & Sabatini, R. & Ezer, N. & Kistan, T. Experimental characterisation of eye-tracking sensors for adaptive human-machine systems. Measurement: Journal of the International Measurement Confederation. 2019. Vol. 140. P. 151-160.
- 31. Pfleger, E. Hazard recognition and reaction in practice - exact time proof by visualization analysis. In: Proceedings of the 21th Annual Congress of the European Association for Accident Research and Analysis. Brasov. 2012. P. 113-120.
- 32. Szymański, P. & Koc, R. & Lauks, R. & Markiewicz, P. Percepcja znaków drogowych przez kierowców - analiza uwagi wzrokowej z użyciem mobilnego eyetrackera. Transport miejski i regionalny. 2017. No. 1. P. 30-36. [In Polish: Drivers’ perception of road signs - analysis of visual attention using a mobile eye tracker. Urban and regional transport].
- 33. Hudák, M. & Madleňák, R. The research of driver’s gaze at the traffic signs. CBU International Conference Proceedings. 2016. P. 4896-4899.
- 34. Kim, J.H. The effects of collision avoidance warning systems on driver’s visual behaviors. In: HCI in Mobility, Transport, and Automotive Systems Automated Driving and In-Vehicle Experience Design HCII 2020 Lecture Notes in Computer Science. Kopenhagen: Springer, Cham. 2020. P. 298-309.
- 35. Skórska, H. & Sładek, J. A simulation study of the graphical user interface of the head-up display and its influence on the driver’s perception. Technical Transactions. 2018. Vol. 6. P. 6155-6166.
- 36. Marx, C. & Kalayci, E.G. & Moertl, P. Temporal Dashboard Gaze Variance (TDGV) Changes for Measuring Cognitive Distraction While Driving Measuring Cognitive Distraction While Driving. Sensors. 2022. Vol. 22(23). No. 9556. Available at: https://www.mdpi.com/1424-8220/22/23/9556.
- 37. El Hamdani, S. & Bouchner, P. & Kunclova, T. & Lehet, D. The impact of physical motion cues on driver braking performance: a clinical study using driving simulator and eye tracker. Sensors. 2023. Vol. 23(1). No. 42.
- 38. Leser, H. & Icke, S. Right-turning lorries and cyclists field tests for eye-tracking analysis of drivers. In: Proceedings 19th EVU Conference. Prague. 2010. P. 29-40.
- 39. Kuranowski, A. & Unarski, J. & Kowal, M. The detection of the presence of pedestrians in blind spot of truck drivers. In: EVU Proceedings 25th Annual Congress. Bratislava. 2016. P. 221-227.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8c0018c8-2004-4019-a8d1-7227ab696fd2
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