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Investigation of probability of pedestrian crash based on auditory recognition distance due to a quiet vehicle in motor mode

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Abstract

This paper is to investigate the auditory recognition distance with several types of vehicles including two types of IC engine vehicle (diesel and gasoline), fully electric vehicle and hybrid vehicle. For this investigation, two experiments were performed. The first experiment was conducted with two low speeds (20 km/h and 30 km/h) on public road similar to proving ground in order to indicate whether a car comes to a subject with two age groups (above and below 60 years old). The second experiment was done on underground parking lot to detect whether there is a car or not when one of the vehicles is under engine/motor idle case. The distance between subject and car is defined as an auditory recognition distance. In addition to the mean value used usually in statistics, the mode value was introduced to represent the typical auditory recognition distance from both sets of experimental data.

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References

  • Emerson, R. W. and Sauerburger, D. (2008). Detecting approaching vehicles at streets with no traffic control. J. Visual Impairment & Blindness 102,12, 747–760.

    Google Scholar 

  • Goodes, P., Bai, Y. B. and Meyer, E. (2009). Investigation into the detection of a quiet vehicle by the blind community and the application of an external noise emitting system. SAE Paper No. 2009-01-2189.

    Google Scholar 

  • Japanese Automobile Standards Internationalization Centre (JASIC) (2009). A Study on Approach Warning Systems for Hybrid Vehicle in Motor Mode. 49th World Forum for Harmonization of Vehicle Regulation (WP.29) GRB Working Group on Noise. February 16–18, 2009. Document Number: GRB-49-10.

    Google Scholar 

  • Jennings, C. R. and Jones, N. S. (2001). Presbyacusis. J. Laryngology & Otology, 115, 171–178.

    Google Scholar 

  • McGehee, D. V., Mazzae, E. N. and Baldwin, G. H. S. (2000). Driver reaction time in crash avoidance research: Validation of a driving simulator study on a test track. Proc. IEA 2000/HFES 2000 Cong. 320–323.

    Google Scholar 

  • National Highway Traffic Safety Administration (2008). Transcript of the Quiet Cars Public Meeting on June 23, 2008. Docket ID NHTSA-2008-0108-0023. Sound Measurement and Mobility (Rosenblum). 53–65.

    Google Scholar 

  • National Highway Traffic Safety Administration (2009). Research on Quieter Cars and the Safety of Blind Pedestrians-A Report to Cong.

    Google Scholar 

  • Nyeste, P. and Wogalter, M. S. (2008). On adding sound to quiet vehicles. Proc. Human Factors and Ergonomics Society 52nd Annual Meeting, 1747–1750.

    Google Scholar 

  • Rosen, S. (1962). Presbycusis study of a relatively noisefree population in the Sudan. American Otological Society Trans., 50, 135–152.

    Google Scholar 

  • Verheijen, E. and Jabben, J. (2010). Effect of Electric Cars on Traffic Noise and Safety. RIVM Letter Report 680300009/2010.

    Google Scholar 

  • Wartman, R. H. and Matthias, J. S. (1983). An Evaluation of Driver Behavior at Signalized Intersections. Final Report. Tucson, Arizona. Arizona Transportation and Traffic Institute

    Google Scholar 

  • Wogalter, M. S., Oman, R. N., Lira, R. W. and Chipley, M. R. (2001). On the risk of quiet vehicles to pedestrians and drivers. Proc. Human Factors and Ergonomics Society 45th Annual Meeting, 1685–1688.

    Google Scholar 

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Correspondence to B. Ko.

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Hong, S., Cho, K. & Ko, B. Investigation of probability of pedestrian crash based on auditory recognition distance due to a quiet vehicle in motor mode. Int.J Automot. Technol. 14, 441–448 (2013). https://doi.org/10.1007/s12239-013-0048-5

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  • DOI: https://doi.org/10.1007/s12239-013-0048-5

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