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Design of LDWS Based on Performance-Based Approach Considering Driver Behaviors

운전자 반응을 고려한 성능기반 기법 적용 차선이탈경보시스템 경보 시점 설계 연구

  • Kim, Hyung Jun (College of Automotive Engineering, Kookmin University) ;
  • Yang, Ji Hyun (College of Automotive Engineering, Kookmin University)
  • 김형준 (국민대학교 자동차융합대학) ;
  • 양지현 (국민대학교 자동차융합대학)
  • Received : 2015.07.23
  • Accepted : 2015.09.09
  • Published : 2015.11.01

Abstract

This article aims to provide a design method of warning thresholds for active safety systems based on the performance-based approach considering driver behaviors. Both positive and negative consequences of warnings are considered, and the main idea is to choose a warning threshold where the positive consequence is maximized, whereas the negative consequence is minimized. The process of the performance-based approach involves: Defining the operating scenarios; setting the trajectory models, including human characteristics; estimating the alert and nominal trajectories; estimating the performance metrics; generating a performance-metric plot; and determining the alert thresholds. This paper chose a lane-departure warning system as an example to show the usefulness of the performance-based approach. Both human and sensor characteristics were considered in the system design, and this paper provided a quantitative method to include human factors in designing active safety systems.

Keywords

References

  1. H. William, "Advances in the epidemiology of injuries as a basis for public policy," Public Health Rep, vol. 95, no. 5, pp. 411-421, 1980.
  2. J. Hwang, S. Park, E. Kim, and H. Kang, "Camera and LIDAR combined system for on-road vehicle detection," Journal of Institute of Control, Robotics and Systems, vol. 15, no. 4, pp. 390-395, 2009 https://doi.org/10.5302/J.ICROS.2009.15.4.390
  3. C. Chun, S. Suh, S. Lee, C. Roh, S. Kang and Y. Kang, "Autonomous navigation of KUVE (KIST Unmanned Vehicle Electric)," Journal of Institute of Control, Robotics and Systems, vol. 16, no. 7, pp. 617-624, 2010. https://doi.org/10.5302/J.ICROS.2010.16.7.617
  4. C. D. Wickens, J. D. Lee, Y. Liu, and S. E. Gordon Becker, H. Wiliam, Introduction to Human Factors Engineering 2nd, Sigmapress, 2008.
  5. J. Yang and H. Kim, "Basic research on the human-vehicle interaction of adaptive autonomous driving," HCI Korea 2015. Seoul, 2014.
  6. J. Lee and A. See, "Trust in automation: desining for approriate reliance," Hum Factors, vol. 46, no. 1, pp. 50-80, 2004. https://doi.org/10.1518/hfes.46.1.50.30392
  7. E. Coelingh, A. Eidehall, and M. Bengtsson, "Collision warming with full auto brake and pedestrian detection-a practical example of automatic emergency braking," International Conference 13th IEEE Intelligent Transportation Systems, pp. 155-160, 2010.
  8. N. an, M. Mail, D. Jian, J. Mittag, and H. Hartenstein, "Balancing the requirements for a zero false positive/negative forward collision warning," Proc. of 10th Annual. Conference IEEE Wireless On-demand Network Systems and Services, pp. 191-195, Mar. 2013.
  9. D. Kasper et al., "Object-oriented Bayesian networks for detection of lane change maneuvers," IEEE Intell. Transp. Syst. Mag., vol. 4, no. 3, pp. 19-31, 2012. https://doi.org/10.1109/MITS.2012.2203229
  10. P. Angkititrakul, R. Terashima, and T. Wakita, "On the use of stochastic driver behavior model in lane departure warning," IEEE Trans. Intell. Transp. Syst., vol. 12, no. 1, pp. 174-183, 2011. https://doi.org/10.1109/TITS.2010.2072502
  11. J. Yang and H. Kim, "Design of collision warning system based on performance-based approach that considers driver behavior," The 10th Asian Control Conference, 2015.
  12. L. Yang. J. Yang, E. Feron, and V. Kulkarni, "Development of a performance-based approach for a rear-end collision warning and avoidance system for automobiles," Proceedings of IEEE Intelligent Vehicles Symposium, 2003.
  13. J. Yang, "Development of a performance-based approach for collision avoidance and mitigation," M.S. thesis Dept. Aeronautics and Astronautics., Massachusetts Institute of Technology, Cambridge, MA, 2003.
  14. J. Kuchar, "A unified methodology for the evaluation of hazard alerting systems," Ph.D. dissertation, Dept. Aeronautics and Astronautics., Massachusetts Institute of Technology, Cambridge, MA, 1995.
  15. J. Kuchar, "Methodology for alerting-system performance evaluation," J. Guid. Contrl. Dynam., vol. 19, no. 2, pp. 438-444, 1996. https://doi.org/10.2514/3.21637
  16. L. Yang, J. Yang, J. Kuchar, and E. Feron, "A real-time monte carlo implementation for computing probability of conflict," in Proceedings of the AIAA Guidance, Navigation, Control Conference, Providence, 2004.
  17. T. D. Gillespie, "Fundamentals of vehicle dynamics," SAE Technical Paper, vol. 114, 1992.

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