주행 중 Navigation 사용에 의한 운전부하에 관한 연구

A Study on Workload of Using Telematics while Driving

  • 구태윤 (성균관대학교 기계공학부 대학원) ;
  • 김배영 (성균관대학교 기계공학부 대학원) ;
  • 지성호 (성균관대학교 기계공학부 대학원) ;
  • 배철호 (성균관대학교 기계공학부 대학원) ;
  • 박정훈 (성균관대학교 기계공학부 대학원) ;
  • 서명원 (성균관대학교 기계공학과)
  • Koo, Tae-Yun (Graduated School of Mechanical Engineering, Sungkyunkwan University) ;
  • Kim, Bae-Young (Graduated School of Mechanical Engineering, Sungkyunkwan University) ;
  • Ji, Sung-Ho (Graduated School of Mechanical Engineering, Sungkyunkwan University) ;
  • Bae, Chul-Ho (Graduated School of Mechanical Engineering, Sungkyunkwan University) ;
  • Park, Jung-Hoon (Graduated School of Mechanical Engineering, Sungkyunkwan University) ;
  • Suh, Myung-Won (School of Mechanical Engineering, Sungkyunkwan University)
  • 발행 : 2009.03.01

초록

New equipment that is useful for driving is developing every day. Navigation is one of the most popular equipment among them. Telematics market including navigation is getting bigger and bigger. However, traffic accident from using telematics equipment is also increasing. Drivers may lose glance using navigation, and driver's workload will also grow by driver's distraction. This thesis is base on the study about the influence on the drivers' workload by using the telematics equipment. Previous study of drivers' workload used psychological method and behavior test method, but it was less connection with telematics equipment. The main object of this thesis is measuring the workload according to the telematics usage by HMI (Human Machine Interface) in the virtual reality. Therefore, we developed GPS simulator, and made an experiment of whether using the navigation or not on the highway and an experiment of the location of navigation in downtown. The result of these experiments is that workload when driver used navigation was higher than when driver didn't use navigation. In addition, workload was different according to the location, and HUD (Head-Up Display) was especially higher than other locations but also its information delivery ability was the best.

키워드

참고문헌

  1. K.Y. Cho, C.H. Bae and M.W. Suh, "Overview of Telematics: A System Architecture Approach," Int. J. Automotive Technology, Vol.7, No.4, pp.509-517, 2006
  2. H. D. Moon, "ITS39 BRIEF - TELEMATICS," A Weekly Technique Tendency, No.l210, pp.39-45, 2005
  3. W. G. Najm, Jr. M. Mironer, J. S. Wang and R. R. Knipling, Synthesis Report: Examination of Target Vehicular Crashes and Potential ITS Countermeasures. DOT HS SOS 263, NHTSA, U.S. Dept. ofTransportation, 1995
  4. V. Leinonen, M. Kankaanp, H. Vanharanta, o. Airaksinen and o. Hanninen, "Back and Neck Extensor Loading and Back Pain Provocation in Urban Bus Drivers with and without Low Back Pain," Pathophysiology, Vol.l2, pp.249-255, 2005 https://doi.org/10.1016/j.pathophys.2005.09.004
  5. P. Bouchner, S. Novotn and M. Hajn, "Analysis of Technical and Biological Outputs from Simulated Driving, Focused on Driver's Fatigue Detection," Proceeding of Driving Simulation Konference AsialPacific. Tsukuba: National Institute of Advanced Industrial Science and Technology (AIST), pp.l76-I88, 2006
  6. N.H. Mackworth, "Visual Noise Causes Vision Tunnel," Psychonomic Science, Vol.3, pp.67-68, 1965. https://doi.org/10.3758/BF03343023
  7. N. H. Mackworth, "Stimulus Density Limits the Useful Field of View," In Monty & Senders (Eds.), Eye Movements and Psychological Processes, 1976
  8. J. Roge, T. Pe'bayle, E. Lambilliotte, F. Spitzenstetter, D. Gisclbrecht and A. Muzet, "Influence of Age, Speed and Duration of Monotonous Driving Task in Traffic on the Driver's Useful Visual Field," Vision Research 44, pp.2737-2744, 2004 https://doi.org/10.1016/j.visres.2004.05.026
  9. M. Baumanna, A. Keinatha, J. F. Kremsa and K. Benglerb "Evaluation of In-vehicle HMI using Occlusion Techniques: Experimental Results and Practical Implications," Applied Ergonomics, Vol.35, pp.197 -205,2004 https://doi.org/10.1016/j.apergo.2003.11.011
  10. B.-S. Liua and Y.-H. Lee "In-vehicle Workload Assessment: Effects of Traffic Situations and Cellular Telephone Use," Journal of Safety Research, Vol.37, pp.99-105, 2006 https://doi.org/10.1016/j.jsr.2005.10.021
  11. S.J. Lee, Y.S. Kim, D.C. Choi, J.H. Cho, W.S. Lee and J.H. Kim, "Development of a Real-Time Driving Simulator for Vehicle System Development and Human Factor Study," Transactions of KSAE, Vol.7, No.7, pp.250-257, 1999
  12. S. Jang, S.J. Kwon, J.H. Chun, K.Y. Cho and M.W. Suh, "Development of the VR Simulation System for the Study of Driver's Perceptive Response," Transactions of KSAE, Vol.13, No.2, pp.l49-156, 2005
  13. D. Gopher and E. Donchin, Workload: An Examinitation of the Concept, In K. R. Boff, L. Kaufman, and J. P. Thomas (Eds.), Handbook of Perception and Human Performance, Vol. II : Cognitive Processes and Performance, Wiley, New York, pp.4I-49, 1986
  14. S. Kobayashi, T. Hara and Y. Goi, "Predicting Changes in Drivers' Drowsiness Level during Prolonged Driving: Extracting Long Blinks from EOG Data," JSAE Spring Convention, Vol.17, No.4, p.440, 1996