Abstract
The objective of this study is to propose the indices which detect the deviated state of drivers while driving by considering drivers’ judgment process and using road environment and naturalistic driving behavior database. To realize this objective, drivers’ speed choice behavior around curve situations was focused and the speed choice process was formulated. Moreover, a deviated state detection method considering the formulated speed choice process around curve situations was proposed and the validity of the method was examined.
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Akamatsu, M. (2003). Establishing driving behavior database and its application to active safety technologies. J. Society of Automotive Engineers of Japan 57, 12, 34–39.
Ikenishi, T., Nishie, G., Kamada, T., Nagai, M., Tanaka, J. and Michitsuji, Y. (2010). Data-driven hurry driving detecting algorithm design and evaluation by using continuous-logging drive recorder. Proc. AVEC 2010, 598–603.
Khaisongkram, W., Raksincharoensak, P., Nagai, M., Shimosaka, M. and Mori, T. (2008). Driver behavior recognition for individual adaptation of driver assistance system based on boosting sequential labeling method. 26th Annual Conf. RSJ, 2F2-08.
Mikolajetz, A., Henning, M. J., Tenzer, A., Zobel, R., Krems, J. F. and Petzoldt, T. (2009). Curve negotiation: Identifying driver behavior around curves with the driver performance database. Proc. 5th Int. Driving Symp. Human Factors in Driver Assessment, Training and Vehicle Design, 391–397.
Nishie, G., Ikenishi, T., Kamada, T., Nagai, M. and Tanaka, J. (2010). Development of hurry driving detection function for continuous sensing drive recorder investigation of threshold by using principal components analysis of time headway and acceleration. 2010 JSAE Annual Cong., 98–10, 1–4.
Reymond, G., Kemeny, A., Droulez, J. and Berthoz, A. (2001). Role of lateral acceleration in curve driving: Driver model and experiments on a real vehicle and a driving simulator. Human Factors 43, 3, 483–495.
Shino, M., Fujino, N., Kamata, M., Hiramatsu, M., Inoue, H. and Shitato, R. (2010). Driving state deviation detection based on naturalistic driving behavior database for driver assistance systems. Proc. AVEC 2010, 737–742.
Shino, M., Kamata, M., Nagai, M., Michitsuji, Y. and Moro, K. (2008). Research on incident analysis using drive recorder part 3: Analysis on relationship driving behavior and traffic circumstance based on forward collision near-miss incident data in car following situation. Proc. FISITA 08 World Automotive Cong., CD-ROM.
Takahashi, A. and Akamatsu, M. (2010). Speed choice model of curve entering based on driving behavior database. Trans. Society of Automotive Engineering of Japan 41, 5, 981–986.
Wierwille, W. W., Wreggit, S. S., Kim, C. L., Ellsworth, L. A. and Fairbanks, R. J. (1994). Research on vehicle-based driver refinement of algorithms for detection of driver drowsiness. Final Report DOT HS 808 247, National Highway Traffic Safety Administrator.
Yoshitake, H., Shino, M., Fujino, N., Kamata, M., Hiramatsu, M. and Inoue, H. (2011). Driver state detection method of hurry state based on naturalistic driving behavior database. Proc. FASR-zero’11(CD-ROM), TS2-6-2-3.
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Shino, M., Yoshitake, H., Hiramatsu, M. et al. Deviated state detection method in driving around curves based on naturalistic driving behavior database for driver assistance systems. Int.J Automot. Technol. 15, 749–755 (2014). https://doi.org/10.1007/s12239-014-0078-7
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DOI: https://doi.org/10.1007/s12239-014-0078-7