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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2012  >  12(6): 89-96
FENG Zhong-xiang, YUAN Hua-zhi, LIU Jing, ZHANG Wei-hua, LIU Hong-chao. Influence of driver personal characteristics on vehicle velocity[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 89-96. doi: 10.19818/j.cnki.1671-1637.2012.06.014
Citation: FENG Zhong-xiang, YUAN Hua-zhi, LIU Jing, ZHANG Wei-hua, LIU Hong-chao. Influence of driver personal characteristics on vehicle velocity[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 89-96. doi: 10.19818/j.cnki.1671-1637.2012.06.014
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Influence of driver personal characteristics on vehicle velocity

doi: 10.19818/j.cnki.1671-1637.2012.06.014
  • 1.

    School of Transportation Engineering, Hefei University of Technology, Hefei 230009, Anhui, China

  • 2.

    School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China

  • 3.

    School of Mechanical and Electrical Engineering, Anhui University of Architecture, Hefei 230601, Anhui, China

  • 4.

    Department of Civil and Environment, Texas Tech University, Lubbock 79409, Texas, USA

More Information
  • Author Bio:

    FENG Zhong-xiang(1982-), male, lecturer, PhD, +86-551-2919160, fzx@hfut.edu.cn

  • Received Date: 2012-07-29
  • Publish Date: 2012-12-25
    Abstract
  • In order to analyze the relationship between driver personal characteristics and vehicle velocity, the method of combining personal attribute survey and real vehicle test was carried out, and the vehicle velocity record data of 80 drivers were obtained. According to the ratio of over speed time and total travel time for driver, the section of over speed selection behavior for driver was divided into 4 small sections. By using disaggregate theory, the personal characteristics of driver such as sex, age, personality, education level and driving age were taken as influence factors, the 4 small sections were taken as alternative parts, the influence measurement model of the personal characteristics of driver on vehicle velocity was set up, and the sensitivity of each influence factor was analyzed based on elasticity theory. Analysis result shows that all the 6 elasticity values of sex, age, education level, corrected vision, professional driver, traffic accident occurrence are less than 1.000, so the above 6 influence factors are short of elasticity to speed selection behavior. In the 4 small sections, the elasticity values of driving age are 6.287, 3.211, 3.438 and 2.450 respectively, the elasticity values of personality are 1.249, 1.045, 2.033 and 3.672 respectively, the 2 influence factors are rich in elasticity to speed selection behavior, and their effects are significant.

     

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