Skip to main content
Log in

Method for Evaluating Effectiveness of Information Presentation in Terms of Collision Avoidance

  • Published:
International Journal of Intelligent Transportation Systems Research Aims and scope Submit manuscript

Abstract

A methodology for evaluating the effectiveness of information presentation regarding oncoming vehicles at intersections in terms of reducing traffic accidents was proposed. In this study, a method for analyzing the accident-reduction effect is discussed based on the "integrated error of driver and system" that the authors propose. First, driver performance was analyzed in a driving simulator with the visibility range being changed and the information system used or not used. Next, a driver model simulating right turns at intersections was constructed. From these investigations, the integrated error is discussed considering the risk-taking behavior of the driver as related to system dependence. The frequency of collisions at intersections was analyzed through simulations by using this driver model. One result analyzed through this simulation study indicates that the frequency of collisions at intersections decreased from 6.1 × 10-3 to 1.0 × 10-6 when the driver used the information system for avoiding collisions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Wilde, G.: Target Risk 2-A New Psychology of Safety and Health-. PDE Publications (2001)

  2. Renge, K.: Psychological Processes of Risk-Taking Behavior in Driving and New Approach toward Promoting Risk-Avoiding Behavior. International Association of Traffic and Safety Sciences 26(1), 12–22 (2000)

    Google Scholar 

  3. Suzuki, K.: An Analysis of Driver’s Behavior during the System Limits. Transactions of the Japan Society of Mechanical Engineers 69(685), 207–212 (2003)

    Google Scholar 

  4. Yamada, K.: Research on Adaptive Cruise Control. Transactions of Society of Automotive Engineers of Japan 31(4), 61–66 (2000)

    Google Scholar 

  5. Suzuki, K., Yamada, K.: Effectiveness of Collision Avoidance Assistance System with Consideration of Driver’s Dependence on the System. Transactions of SICE 42(7), 822–828 (2006)

    Google Scholar 

  6. Green, P.: Developing Complex Crash Warning Simulations for Human Factors Evaluations. Proceedings of the Human Factors and Ergonomics Society Annual meeting, Santa Monica, CA 52(23), 1865–1869 (2008)

    Google Scholar 

  7. California Partners for Advanced Transit and Highways, http://www.path.berkeley.edu/

  8. Cody, D., Nowakowski, C., Bougler, B.: Observation of gap acceptance during intersection approach. Proceedings of the Fourth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, pp. 321-327 (2007)

  9. Chan, C., Ragland, D., Shladover, S., Misener, J., Marco, D.: Observations of Driver Time Gap Acceptance at Intersections in Left-Turn Across-Path-Opposite-Direction Scenarios. Journal of the Transportation Research Board 1910, 10–19 (2005)

    Article  Google Scholar 

  10. Shladover, S., Regland, D., Misener, J., Chan, C., Arroyo, S.: Gap Acceptance for Vehicles Turning Left Across Oncoming Traffic: Implications for Intersection Decision support. Proceedings of the Transportation Research Board 85th Annual Meeting, 06-2696 (2006)

  11. Ragland, D., Arroyo, S., Shladover, S., Misener, J., Chan, C.: Gap acceptance for vehicles turning left across on-coming traffic. UCB-ITS-TSC-2006-2 (2006)

  12. Shladover, S., VanderWerf, J., Ragland, D.: Providing Intersection Decision Support under Challenging conditions. UCB-ITS-TSC-2006-5 (2006)

  13. Ueno, H., Ochiai, K.: Analysis of Accidents in Right Turns Using A Fuzzy Logic Simulation Model. DOT-HS-807 990 (1993)

  14. Pant, P.: Neural network for Gap Acceptance at Stop-Controlled Intersections. Journal of Transportation Engineering 120(3), 432–446 (1994)

    Article  Google Scholar 

  15. ASV, http://www.mlit.go.jp/jidosha/anzen/01asv/

  16. AHS, http://www.ahsra.or.jp/index_e.html

  17. Kubo, Y., Shibata, Y., Horino, M.: Development of Intersection Monitoring Sensor Systems. Proceedings of 7th World Congress on Intelligent Transport Systems, Paper#3579 (2000)

  18. Shimamura, A., Kaneko, J., Takahashi, K., Tanaka, K.: Development of smart cruise algorithms for prevention of intersection accidents. Proceedings of 7th World Congress on Intelligent Transport Systems, Proceedings of 7th World Congress on Intelligent Transport Systems, Paper#3588 (2000)

  19. Okabe, K., Hiraoka, T., Nishihara, O., Kumamoto, H.: Fundamental research about the effectiveness of a safe driving support system with information provision. JSAE Review 24(4), 387–392 (2003)

    Article  Google Scholar 

  20. Suzuki, K., Yamada, K.: Method for evaluating the collision mitigation ratio when using collision avoidance alarm at intersection. Proceedings of SICE Annual Conference 2010, #TC18-06 (2010)

  21. Yamada, K., Seki, Y., Endo, S.: A Study on System Safety Design Guideline for Advanced Cruise-Assist Highway Systems. Transactions of Society of Automotive Engineers of Japan 31(4), 56–60 (2000)

    Google Scholar 

  22. Statistical survey of traffic flow, http://www.mlit.go.jp/statistics/details/road_list.html

Download references

Acknowledgements

We express our gratitude to Professor Dr. Sunao Chikamori, who is a specially appointed professor (- March, 2007) of Shibaura Institute of Technology. The authors received scientific instruction about constructing a driver model.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Keisuke Suzuki.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Suzuki, K., Yamada, K. Method for Evaluating Effectiveness of Information Presentation in Terms of Collision Avoidance. Int. J. ITS Res. 9, 37–46 (2011). https://doi.org/10.1007/s13177-010-0023-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13177-010-0023-8

Keywords

Navigation