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International Journal of Automotive Technology > Volume 19(1); 2018 > Article
International Journal of Automotive Technology 2018;19(1): 179-190.
doi: https://doi.org/10.1007/s12239-018-0017-0
Chulwoo Moon1, Youngseok Lee2, Chang-Hyun Jeong2, Seibum Choi1
2Korea Automotive Technology Institute
Recently, with increased interest in high levels of automated driving systems such as automatic lane change system, the need for reliable assessment methods of driver acceptance has arisen. Because the acceptance depends on the individual, the assessment of the acceptance can only be based on an individual’s personal attitude, expectations, and experiences. Accordingly, subjective evaluation methods have mostly been utilized to assess the acceptance of newly developed advanced driver assistance systems. In this study, an investigation of the effects of vehicle dynamic behavior and the traffic environment on driver acceptance is conducted to provide an objective evaluation method of driver acceptance for an automatic lane change system. In order to conduct the investigation, a specific experimental program is designed and a massive database, including information on interaction behaviors between drivers, a vehicle and the traffic environment is constructed with a selected group of 19 drivers. Then, 21 parameters and their descriptive statistics for an objective evaluation index are presented to illustrate the analysis results. The results of this research can be important not only for an objective evaluation of the acceptance, but can also be expanded to suggest design criteria for control of advanced and automated driving assistance systems.
Key Words: Driver/Passenger acceptance, Acceptance evaluation, Objectification, ADAS (Advanced Driver Assistant System), Automatic lane change system
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