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Research into the effects of changes in drivers’ driving style on vehicle movement parameters

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Investigations into driver’s behavior are a very important and frequently addressed topic by researchers. They allow us to understand drivers better and characterize their behavior. However, this can be difficult due to the many factors that affect the driver while driving. Therefore, many efforts are being made to improve the safety of both drivers and other road users. In this study, in order to better understand and describe the driver’s driving behavior, the results of a pilot study conducted under real traffic conditions are presented. The test route includes different road types and is characterized by varying traffic conditions. Modifications in simple vehicle movement parameters are analyzed in relation to changes in the way drivers drive test routes.
Rocznik
Strony
73--81
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
  • Kielce University of Technology, Faculty of Mechatronics and Mechanical Engineering Department of Automotive Engineering and Transport 7 Tysiąclecia Państwa Polskiego Ave., 25-314 Kielce, Poland
  • Kielce University of Technology, Faculty of Mechatronics and Mechanical Engineering Department of Automotive Engineering and Transport 7 Tysiąclecia Państwa Polskiego Ave., 25-314 Kielce, Poland
Bibliografia
  • 1. Ben-Bassat, T. & Shinar, D. (2011) Effect of shoulder width, guardrail and roadway geometry on driver perception and behavior. Accident Analysis & Prevention 43 (6), pp. 2142‒2152, doi: 10.1016/j.aap.2011.06.004.
  • 2. Choudhary, P. & Velaga, N.R. (2017) Modelling driver distraction effects due to mobile phone use on reaction time. Transportation Research Part C: Emerging Technologies 77, pp. 351‒365, doi: 10.1016/j.trc.2017.02.007.
  • 3. Christoforou, Z., Karlaftis, M. G. & Yannis, G. (2013) Reaction times of young alcohol-impaired drivers. Accident Analysis & Prevention 61, pp. 54‒62, doi: 10.1016/j. aap.2012.12.030.
  • 4. Di Milia, L. & Kecklund, G. (2013) The distribution of sleepiness, sleep and work hours during a long distance morning trip: A comparison between night-and non-night workers. Accident Analysis & Prevention 53, pp. 17‒22, doi: 10.1016/j.aap.2013.01.003.
  • 5. Felipe, J., Amarillo, J.C., Naranjo, J.E., Serradilla, F. & Diaz, A. (2015) Energy consumption estimation in electric vehicles considering driving style. 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 101‒106, 15‒18 September 2015, Gran Canaria, Spain, doi: 10.1109/ITSC.2015.25.
  • 6. Gottlieb, D.J., Ellenbogen, J.M., Bianch, M.T. & Czeisler, C.A. (2018) Sleep deficiency and motor vehicle crash risk in the general population: A prospective cohort study. BMC Medicine 16 (1), 44, doi: 10.1186/s12916-018- 1025-7.
  • 7. Gruszczyński, M. & Jurecki, R. (2020) Review of driving quality and vehicle safety indicators. 2020 XII International Science-Technical Conference AUTOMOTIVE SAFETY, Kielce, Poland, pp. 1‒8, doi: 10.1109/AUTOMOTIVESAFETY47494.2020.9293536.
  • 8. Gruszczyński, M. & Jurecki, R. (2023) Testing the way of driving a vehicle in real road conditions. Open Engineering 13 (1), 20220413, doi: 10.1515/eng-2022-0413.
  • 9. GUS (2023) Portal Geostatystyczny. Available from: https://bdl.stat.gov.pl/bdl/dane/podgrup/tablica [Accessed: 09.07.2023].
  • 10. Guzek, M. (2014) Simplex and complex reaction time of male drivers in various age – results of research with use of reflexometer. The Archives of Automotive Engineering ‒ Archiwum Motoryzacji 65 (3), pp. 19‒28.
  • 11. Hindmarch, I. (2004) Psychomotor function and psychoactive drugs. British Journal of Clinical Pharmacology 58 (7), pp. S720‒S740, doi: 10.1111/j.1365-2125.2004.02279.x.
  • 12. Jurecki, R.S. & Jaśkiewicz, M. (2012) Analysis of road accidents in Poland over the last ten years. Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie 32 (104), z. 2, pp. 65‒70.
  • 13. Konstantopoulos, P., Chapman, P. & Crundall, D. (2010) Driver’s visual attention as a function of driving experience and visibility. Using a driver symulator to explore drivers’ eye movements in day, night and rain driving. Accident Analysis & Prevention 42 (3), pp. 827‒834, doi: 10.1016/j.aap.2009.09.022.
  • 14. Lai, C.-J. (2008) An ergonomic study of Chinese font and color display on variable message signs. Journal of the Chinese Institute of Industrial Engineers 25 (4), pp. 306–313, doi: 10.1080/10170660809509094.
  • 15. LAI, C.-J. (2010) Effects of color scheme and message lines of variable message signs on driver performance. Accident Analysis & Prevention 42 (4), pp. 1003‒1008, doi: 10.1016/j.aap.2009.12.002.
  • 16. Lee, T. & Son, J. (2011) Relationships between driving style and fuel consumption in highway driving. 16th Asia Pacific Automotive Engineering Conference, doi: 10.4271/2011-28- 0051.
  • 17. Li, G., Li, S.E., Cheng, B. & Green, P. (2017) Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities. Transportation Research Part C: Emerging Technologies 74, pp. 113‒125, doi: 10.1016/j. trc.2016.11.011.
  • 18. Liščák, Š., Moravčík, L. & Jaśkiewicz, M. (2014) Safety requirements for road vehicles. Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie 39(111), pp. 94‒99.
  • 19. Łukasik, Z., Bril, J. & Bril, D. (2013) Zagrożenia związane z transportem drogowym. Autobusy: Technika, Eksploatacja, Systemy Transportowe 14 (3), pp. 45‒57.
  • 20. Merkisz, J., Andrzejewski, M. & Pielecha, J. (2013) The effect of applying the eco-driving rules on the exhaust emissions. Combustion Engines 155 (4), pp. 66‒74, doi: 10.19206/CE-116978
  • 21. Ogata, N.G., Daga, F.B., Jammal, A.A., Boer, E.R., Hill, L.L., Stringham, J.M., Susanna, R. & Medeiros, F.A. (2019) Mobile telephone use and reaction time in drivers with glaucoma. JAMA Network Open 2 (4), e192169, doi: 10.1001/jamanetworkopen.2019.2169.
  • 22. Pędziwiatr, K. & Sosik-Filipiak, K. (2021) Reduction of the movement of individual vehicles in cities – a case study. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 68 (140), pp. 47‒54, doi: 10.17402/486.
  • 23. Pizza, F., Contardi, S., Antognini, A.B., Zagoraiou, M., Borrotti, M., Mostacci, B., Mondini, S. & Cirignotta, F. (2010) Sleep quality and motor vehicle crashes in adolescents. Journal of Clinical Sleep Medicine 6 (1), pp. 41‒45, doi: 10.5664/jcsm.27708.
  • 24. Qurashi, S., Chinnappa, J., Lord, S.J., Nazha, A., Gordon, J. & Chow, J. (2017) Driving after microinvasive total hip arthroplasty. The Journal of Arthroplasty 32 (5), pp. 1525‒1529, doi: 10.1016/j.arth.2016.11.052.
  • 25. Rygula, A. (2009) Driving style identification method based on speed graph analysis. 2009 International Conference on Biometrics and Kansei Engineering, Cieszyn, Poland, 25‒28 June 2009, pp. 76‒79, doi: 10.1109/ICBAKE.2009. 51.
  • 26. Skuza, A. & Jurecki, R.S. (2022) Analysis of factors affecting the energy consumption of an EV vehicle-a literature study. IOP Conference Series: Materials Science and Engineering 1247 (1), 012001, doi: 10.1088/1757-899X/1247/1/ 012001.
  • 27. Suzdaleva, E. & Nagy, I. (2018) An online estimation of driving style using data-dependent pointer model. Transportation Research Part C: Emerging Technologies 86, pp. 23‒36, doi: 10.1016/j.trc.2017.11.001.
  • 28. Várhelyi, A., Hjälmdahl, M., Hydén, C. & Draskóczy, M. (2004) Effects on an active accelerator pedal on driver behaviour and traffic safety after long-term use in urban areas. Accident Analysis and Prevention 36 (5), pp. 729‒737, doi: 10.1016/j.aap.2003.06.001.
  • 29. Vaux, L.M., Ni, R., Rizzo, M., Uc, E.Y. & Andersen, G.J. (2010) Detection of imminent collisions by drivers with Alzheimer’s disease and Parkinson’s disease: A preliminary study. Accident Analysis & Prevention 42 (3), pp. 852‒858, doi: 10.1016/j.aap.2009.07.009.
  • 30. Verster, J.C., Veldhuijzen, D.S. & Volkerts, E.R. (2004) Residual effects of sleep medication on driving ability. Sleep Medicine Reviews 8 (4), pp. 309‒325, doi: 10.1016/j. smrv.2004.02.001.
  • 31. Vrábel, J., Šarkan, B. & Vashisth, A. (2020) Change of driver’s reaction time depending on the amount of alcohol consumed by the driver – the case study. The Archives of Automotive Engineering ‒ Archiwum Motoryzacji 87 (1), pp. 47‒56, doi: 10.14669/AM.VOL87.ART4
  • 32. Wakita, T., Ozawa, K., Miyajima, C., Igarashi, K., Itou, K., Takeda, K. & Itakura, F. (2006) Driver identification using driving behavior signals. IEICE ‒ Transactions on Information and Systems E89-D (3), pp. 1188‒1194, doi: 10.1093/ietisy/e89-d.3.1188.
  • 33. Wang, J., Lu, M. & Li, K. (2010) Characterization of longitudinal driving behavior by measurable parameters. Transportation Research Record 2185(1), pp. 15‒23, doi: 10.3141/ 2185-03.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dbf90ae3-c24f-4905-8900-859c8855994d
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