Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
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Driving Performance and Heart-Rate Change of Middle-Aged Drivers in Left-Turn Situation

교차로 환경에서 좌회전 시 중년 운전자들의 운전수행 및 심박율 변화 특성

  • Kim, Bo-Seong (Green Home Energy Technology Research Center, Kongju National University) ;
  • Min, Byung-Chan (Department of Industrial and Management Engineering, Hanbat National University) ;
  • Kim, Jin-Ho (Green Home Energy Technology Research Center, Kongju National University) ;
  • Min, Yoon-Ki (Department of Psychology, Chungnam National University)
  • 김보성 (공주대학교 그린홈에너지기술연구소) ;
  • 민병찬 (한밭대학교 산업경영공학과) ;
  • 김진호 (공주대학교 그린홈에너지기술연구소) ;
  • 민윤기 (충남대학교 심리학과)
  • Received : 2011.01.05
  • Accepted : 2011.02.11
  • Published : 2011.02.28
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Abstract

Objective: The aim of this study was to investigate middle-aged drivers' driving performance and heart-rate as the behavior and physiological changes due to intersection types in left-turn situation. Background: In Korea, the drivers were aged 40~50s are most plentiful. In addition, the intersection traffic accidents are increasing every year. However, the researches for middle-aged drivers and intersection environments have been little. Method: In this study, three kinds of left-turning intersection types(T1, T2, T3) was used as the within-subject independent variables, three age groups(young, middle-aged, elderly) was used as the between-subject independent variables. Also, passing time, approaching velocity, speed and steering variations and heart-rate were used as dependent variables. Results: Overall, middle-aged drivers' driving behaviors were similar to those of the younger drivers. At the T2 intersection type, however, the approaching velocity of middle-aged drivers was similar to younger drivers, whereas the passing time of middle-aged drivers was similar to elderly drivers. Conclusion: These results could be interpreted that a transition driving behavior of middle-aged drivers in terms of age would be appeared on the T2 intersection type. Application: The results might help to understand the characteristics of driving behavior for middle-aged drivers.

Keywords

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