Open Access
Issue
MATEC Web Conf.
Volume 90, 2017
The 2nd International Conference on Automotive Innovation and Green Vehicle (AiGEV 2016)
Article Number 01004
Number of page(s) 14
DOI https://doi.org/10.1051/matecconf/20179001004
Published online 20 December 2016
  1. M. M. Abdul Manan, A. Várhelyi, “Motorcycle fatalities in Malaysia,” IATSS Res., vol. 36, no. 1, pp. 30–39, (2012) [Google Scholar]
  2. S. Allyana, S. Mohamed, H. M. Jamil, M. Musa, N. Isah, W. S. Voon, “Impact Studies of Automated Enforcement System Implementation,” (2014) [Google Scholar]
  3. J. Mohd Marjan, N. Mohamed, M. R. Othman, F. Abas, F. Mohd Yusod, W. Shaw Voon, “Evaluation of the Effectiveness of OPS Bersepadu Hari Raya 2011,” (2012) [Google Scholar]
  4. D. J. Beirness, “Do we really drive as we live? The role of personality factors in road crashes,” Alcohol, Drugs Driv., vol. 9, no. 3–4, pp. 129–143, (1993) [Google Scholar]
  5. R. D. Garrity, J. Demick, “Relations among Personality Traits, Mood States, and Driving Behaviors,” J. Adult Dev., vol. 8, no. 2, pp. 109–118, (2001) [CrossRef] [Google Scholar]
  6. M. J. M. Sullman, A. N. Stephens, M. Yong, “Driving anger in Malaysia,” Accid. Anal. Prev., vol. 71, pp. 1–9, (2014) [Google Scholar]
  7. G. J. Wilde, “The theory of risk homeostasis: Implications for safety and health,” Risk Anal., vol. 2, no. 4, pp. 209–225, (1982) [CrossRef] [Google Scholar]
  8. R. Näätänen, H. Summala, “A model for the role of motivational factors in drivers’ decision-making,” Accid. Anal. Prev., vol. 6, no. 3–4, pp. 243–261, (1974) [CrossRef] [Google Scholar]
  9. H. Summala, “Towards understanding motivational and emotional factors in driver behaviour: Comfort through satisficing,” in Modelling Driver Behaviour in Automotive Environments: Critical Issues in Driver Interactions with Intelligent Transport Systems, (2007), pp. 189–207 [Google Scholar]
  10. T. Vaa, “Modelling driver behaviour on basis of emotions and feelings: Intelligent transport systems and behavioural adaptations,” in Modelling Driver Behaviour in Automotive Environments: Critical Issues in Driver Interactions with Intelligent Transport Systems, (2007), pp. 208–232 [Google Scholar]
  11. Malaysian Institute of Road Safety (MIROS), “Data Am Kemalangan Jalan Raya di Malaysia (1997 – 2014),” (2016). [Online]. Available: https://www.miros.gov.my/1/page.php?id=17. [Accessed: 16-Feb-2016] [Google Scholar]
  12. O. Taubman-Ben-Ari, M. Mikulincer, O. Gillath, “The multidimensional driving style inventory - Scale construct and validation,” Accid. Anal. Prev., vol. 36, no. 3, pp. 323–332, (2004) [CrossRef] [Google Scholar]
  13. E. R. Dahlen, R. C. Martin, K. Ragan, and M. M. Kuhlman, “Driving anger, sensation seeking, impulsiveness, and boredom proneness in the prediction of unsafe driving,” Accid. Anal. Prev., vol. 37, no. 2, pp. 341–348, (2005) [CrossRef] [Google Scholar]
  14. J. J. Arnett, D. Offer, and M. A. Fine, “Reckless driving in adolescence: ‘State’ and ‘trait’ factors,” Accid. Anal. Prev., vol. 29, no. 1, pp. 57–63, (1997) [CrossRef] [Google Scholar]
  15. M. Zuckerman and M. Neeb, “Demographic influences in sensation seeking and expressions of sensation seeking in religion, smoking and driving habits,” Pers. Individ. Dif., vol. 1, no. 3, pp. 197–206, (1980) [CrossRef] [Google Scholar]
  16. D. J. French, R. J. West, J. Elander, and J. M. Wilding, “Decision-making style, driving style, and self-reported involvement in road traffic accidents.,” Ergonomics, vol. 36, no. 6, pp. 627–644, (1993) [CrossRef] [Google Scholar]
  17. E. Gulian, G. Matthews, A. I. Glendon, D. R. Davies, L. M. Debney, “Dimensions of driver stress,” Ergonomics, vol. 32, no. 6, pp. 585–602, (1989) [CrossRef] [Google Scholar]
  18. H. Hooft J. van Huysduynen J.-B. Terken Martens, B. Eggen, “Measuring Driving Styles : A Validation of the Multidimensional Driving Style Inventory,” in 7th International Conference on Automotive User Interfaces and Interactive Vehicluar Applications, (2015), pp. 257–264 [Google Scholar]
  19. M. Ishibashi, M. Okuwa, S. Doi, M. Akamatsu, “Indices for characterizing driving style and their relevance to car following behavior,” Proc. SICE Annu. Conf., pp.1132–1137, (2007) [Google Scholar]
  20. F. M. Poó, R. D. Ledesma, “A Study on the Relationship between Personality and Driving Styles,” Traffic Inj. Prev., vol. 14, pp. 346–352, (2013) [CrossRef] [Google Scholar]
  21. T. Lajunen, A. Corry, H. Summala, L. Hartley, “Cross-Cultural Differences in Drivers’ Self-assessments of Their Perceptual-motor and Safety Skills: Australians and Finns,” Pers. Individ. Dif., vol. 24, no. 4, pp. 539–550, (1998) [CrossRef] [Google Scholar]
  22. M. Zuckerman, D. Michael Kuhlman, M. Joireman, H. Kraft, “Five robust questionnaire scale factors of personality without culture,” Pers. Individ. Dif., vol. 12, no. 9, pp. 929–941, (1993) [CrossRef] [Google Scholar]
  23. J. M. Burger, H. M. Cooper, “The desirability of control,” Motiv. Emot., vol. 3, no. 4, pp. 381–393, (1979) [CrossRef] [Google Scholar]
  24. A. Field, Discovering Statistics using SPSS. Third Edition. (2009) [Google Scholar]
  25. B. Williams, T. Brown, A. Onsman, “Exploratory factor analysis : A five-step guide for novices,” Australas. J. Paramadicine, vol. 8, no. 3, pp. 1–13, (2012) [Google Scholar]
  26. J. Raubenheimer, “An item selection procedure to maximise scale reliability and validity,” SA J. Ind. Psychol., vol. 30, no. 4, pp. 59–64, (2004) [CrossRef] [Google Scholar]
  27. B. A. Jonah, R. Thiessen, E. Au-Yeung, “Sensation seeking, risky driving and behavioral adaptation,” Accid. Anal. Prev., vol. 33, no. 5, pp. 679–684, (2001) [CrossRef] [Google Scholar]
  28. G. Miller, O. Taubman-Ben-Ari, “Driving styles among young novice drivers-The contribution of parental driving styles and personal characteristics,” Accid. Anal. Prev., vol. 42, no. 2, pp. 558–570, (2010) [CrossRef] [Google Scholar]
  29. C. Distefano, M. Zhu, and D. Mîndrilă, “Understanding and Using Factor Scores: Considerations for the Applied Researcher,” Pract. Assessment, Res. Eval., vol. 14, no. 20, pp. 1–11, (2009) [Google Scholar]
  30. Q. Shahab, J. Terken, and B. Eggen, “Development of a Questionnaire for Identifying Driver’s Personal Values in Driving,” in Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI ‘13, (2013), pp. 202–208 [CrossRef] [Google Scholar]
  31. O. Taubman-Ben-Ari and D. Yehiel, “Driving styles and their associations with personality and motivation,” Accid. Anal. Prev., vol. 45, pp. 416–422, (2012) [CrossRef] [Google Scholar]
  32. T. Vaa, “From Gibson, Crooks to Damasio: The role of psychology in the development of driver behaviour models,” Transp. Res. Part F Traffic Psychol. Behav., vol. 25, pp. 112–119, (2014) [CrossRef] [Google Scholar]
  33. B. a. Jonah, “Sensation seeking and risky driving: A review and synthesis of the literature,” Accid. Anal. Prev., vol. 29, no. 5, pp. 651–665, (1997) [CrossRef] [Google Scholar]
  34. T. Lajunen, H. Summala, “Effects of driving experience, personality, driver’s skill and safety orientation on speed regulation and accidents,” Traffic Transp. Psychol. Theory Appl., pp. 283–294, (1997) [Google Scholar]
  35. M. J. M. Sullman, A. N. Stephens, M. Yong, “Anger, aggression and road rage behaviour in Malaysian drivers,” Transp. Res. Part F Traffic Psychol. Behav., vol. 29, pp. 70–82, (2015) [Google Scholar]
  36. M. Sikkenk and J. Terken, “Rules of Conduct for Autonomous Vehicles,” in Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, (2015), pp. 19–22 [Google Scholar]
  37. D. Dudley, “Google Self-Driving Car Perfect for Elderly Drivers - AARP,” AARP, (2015). [Online]. Available: http://www.aarp.org/home-family/personal-technology/info-2014/google-self-driving-car.html. [Accessed: 16-Feb-2016] [Google Scholar]

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