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Driver Risk Perception and Physiological State During Car-Following Experiments Using a Driving Simulator

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Abstract

For passengers to become comfortable with automatic driving, it is important to clarify when they sense danger. For the sake of safety and reproducibility of dangerous situations, experiments using a driving simulator are preferred to experiments in actual traffic. However, drivers’ sense of danger in a driving simulator has not been well studied. We conducted two experiments using a driving simulator to examine drivers’ sense of danger. In Experiment 1, drivers followed a car. We measured driver perspiration when the forward car suddenly decelerated. Experiment 2 was a simulation of two platooning trucks. We observed the perspiration of the driver in the following truck. Results indicated a correlation between inverse Time-To-Collision and perspiration rate change. We analyzed the correlation between perspiration and car motion variables for practical application to automatic driving.

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References

  1. Ohhashi, T., Sakaguchi, M., Tsuda, T.: Human perspiration measurement. Physiol. Meas. 19, 449–461 (1998)

    Article  Google Scholar 

  2. Kawasaki, M., Takashima, S., Konishi, T., Sakaguchi, M.: Study of estimation of the amount of mental stress by using emotional sweating rate. Jpn Soc. Med. Instrum. 78(2), 58–63 (2008)

    Google Scholar 

  3. Momose, H., Sakaguchi, M., Nakazima, T., Ooshima, T.: Development of Flow Control Digital Perspiration Meter, IEICE technical report. ME and Bio Cybernetics 108(219), 69–72 (2008)

    Google Scholar 

  4. Suda, Y., Shladover, S.E., Takahashi Y., Onuki, M., Matsushita, K., Kanoh, M., Honda, K., Shiraishi, T.: Validation of the universal driving simulator with interactive traffic simulation. Driving Simulator Conference Asia / Pacific 2006, CD-ROM No.37, (2006)

  5. Suda, Y. Yamaguchi, D.: Evaluation of the universal driving simulator with experimental subjects. Proceedings of ITS World Congress ’07, No.3271, (2007)

  6. Nozaki, H.: The relation of difficult vehicle control and driver risk (subjective dangerous feeling) evaluation by amount of perspiration. Trans. Jpn Soc. Mech. Engineers. C 71(703), 216–222 (2005). in Japanese

    Google Scholar 

  7. Kuriyagawa, Y., Kageyama, I.: Study on construction of evaluation model for the mental work load using the heart rate. Trans. Jpn Soc. Mech. Engineers. C 71(702), 533–540 (2005). in Japanese

    Google Scholar 

  8. Kitajima, S., Marumo, Y., Hiraoka, T., Itoh, M.: Comparison of evaluation indices for estimating driver’s risk perception of rear-end collision. Automobile Res. 30(9), 495–498 (2008). in Japanese

    Google Scholar 

  9. Brown, B.: Dynamic visual acuity. Eye Movements Peripher. Acuity For Moving Targets Vis. Res. 12, 305–321 (1972)

    Google Scholar 

  10. Pinker, S.: Visual cognition: an introduction. Cognition 18, 1–63 (1984)

    Article  Google Scholar 

  11. Engstrom, J., Johansson, E., Ostlund, J.: Effects of visual and cognitive load in real and simulated motorway driving. Transp. Res. F 8, 97–120 (2005)

    Google Scholar 

  12. Morita, K., Sekine, M., Okada, T.: Analysis of factors related to driver’s braking timing for driving assistant system. SICE J. Control Meas. Syst. Integration 44(2), 199–208 (2008). in Japanese

    Google Scholar 

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Acknowledgment

This research was conducted as a part of the Development of Energy-saving ITS Technologies project of the New Energy and Industrial Technology Development Organization (NEDO). Authors gratefully appreciate the financial support of NEDO, which made it possible to complete our study.

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Authors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan

    Hiroki Nakamura, Shigeyuki Yamabe, Kimihiko Nakano, Daisuke Yamaguchi & Yoshihiro Suda

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  1. Hiroki Nakamura
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  2. Shigeyuki Yamabe
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  3. Kimihiko Nakano
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  4. Daisuke Yamaguchi
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  5. Yoshihiro Suda
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Correspondence to Hiroki Nakamura.

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Nakamura, H., Yamabe, S., Nakano, K. et al. Driver Risk Perception and Physiological State During Car-Following Experiments Using a Driving Simulator. Int. J. ITS Res. 8, 140–150 (2010). https://doi.org/10.1007/s13177-010-0019-4

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  • DOI: https://doi.org/10.1007/s13177-010-0019-4

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