Volume 39 Issue 2
Apr.  2021
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Article Navigation >  Journal of Transport Information and Safety  > 2021  >  39(2): 36-42, 52
LIANG Bo, LI Shuo, ZHONG Shengming, PU Junyong. Correction Computation of Stopping Sight Distance in Approaching Section of Mountain Tunnel Based on Traffic Flow Theory[J]. Journal of Transport Information and Safety, 2021, 39(2): 36-42, 52. doi: 10.3963/j.jssn.1674-4861.2021.02.005
Citation: LIANG Bo, LI Shuo, ZHONG Shengming, PU Junyong. Correction Computation of Stopping Sight Distance in Approaching Section of Mountain Tunnel Based on Traffic Flow Theory[J]. Journal of Transport Information and Safety, 2021, 39(2): 36-42, 52. doi: 10.3963/j.jssn.1674-4861.2021.02.005
shu

Correction Computation of Stopping Sight Distance in Approaching Section of Mountain Tunnel Based on Traffic Flow Theory

doi: 10.3963/j.jssn.1674-4861.2021.02.005
  • 1.

    School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China

  • 2.

    State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China

  • 3.

    School of Civil Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China

  • Received Date: 2020-11-10
    Abstract
  • Speed is the most important calculation parameter in stopping sight distance. However, the existing correction computation of the model of stopping sight distance does not consider the impacts of traffic environment in mountain tunnel on the driving speed. Four representative mountain tunnels in Chongqing are selected to carry out field experiments, thus studying characteristics of speed flow in the approaching section of mountain tunnel. The data of speed and traffic flow in the approach section is used to analyze the distribution law and statistical relationship of traffic flow and speed. Then a model of the relationship between vehicle speed and traffic flow in the approaching section is developed to derive the stopping sight distance formula based on the characteristics of speed flow. The values of relevant standards and norms are compared to reveal the law of change. The results show that the speed of the approaching section of the mountain tunnel decreases first and then increases. Traffic flow is significantly related to vehicle speed. After fitting, a calculation model with coefficient R2 =0.9 is obtained. At the same speed, the modified value is about 1.07 to 1.21 times of the standard value. The greater the speed, the greater the differences. The modified stoppingsight distance length can meet the needs of 70% drivers at least. Based on the corresponding regulations, the impacts of traffic flow on vehicle speed of the stopping sight distance is considered to improve the driving safety level in the approaching section of the mountain tunnel.

     

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