EVALUATION OF A COPING MODEL BASED ON DRIVER BIOSIGNALS FOR OVERCOMING THE YELLOW LIGHT DILEMMA

Published 30 June 2020 •  vol 139  • 


Authors:

 

Young-Jung Kim, Department of Industrial & Management Engineering, Hanbat National University, South Korea
Kyu-Beom Kim, Department of Industrial & Management Engineering, Hanbat National University, South Korea
Hyung-Seok Jo, Department of Industrial & Management Engineering, Hanbat National University, South Korea
Byung-Chan Min, Department of Industrial & Management Engineering, Hanbat National University, South Korea

Abstract:

 

Driving a vehicle requires the recognition of information and a proper response to that information. However, there is a scenario that interferes with the driver’s perception of traffic information, which is known as the yellow light dilemma. This study’s aim is to characterize the condition of drivers who experience a yellow light dilemma and to suggest a new signal system. The hypothesis of this study is the following: if drivers are given more information on the timing of the yellow light, making a decision on whether or not to pass through the intersection will be much easier and therefore safer. In order to test this hypothesis, this study identifies the physiological response of the driver in both the existing signal system and the signal system suggested in this study (the “coping model”). The brain waves and pulse waves of 20 novice drivers of university student age are measured during a driving simulation, and then a frequency analysis and power spectrum analysis are conducted. The results show that the α-power is more dominant in the coping model compared to the existing model, which indicates that the drivers’ biosignals are more stable in the coping model. This implies that if the coping signal system is applied to the current traffic system, more stable driving will be possible via the provision of additional information on the yellow signals to the driver.

Keywords:

 

EEG, Graphic Driving Simulator, PPG, Signal System, Yellow Light Dilemma

References:

 

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Citations:

 

APA:
Kim, Y.-J., Kim, K.-B., Jo, H.-S., & Min, B.-C. (2020). Evaluation of a Coping Model Based on Driver Biosignals for Overcoming the Yellow Light Dilemma. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 139, 11-22. doi: 10.33832/ijast.2020.139.02.

MLA:
Kim, Young-Jung, et al. “Evaluation of a Coping Model Based on Driver Biosignals for Overcoming the Yellow Light Dilemma.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 139, 2020, pp. 11-22. IJAST, http://article.nadiapub.com/IJAST/Vol139/2.html.

IEEE:
[1] Y.-J. Kim, K.-B. Kim, H.-S. Jo, and B.-C. Min, "Evaluation of a Coping Model Based on Driver Biosignals for Overcoming the Yellow Light Dilemma." International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 139, pp. 11-22, June 2020.