Volume 41 Issue 4
Aug.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(4): 33-43
TANG Hao, TANG Zhongze, ZHANG Chi, WEI Bin, ZHANG Kunlun, YANG Kun. An Analysis of Driving Behavior on Short Distance Section between Tunnel and the Exit of Main Roadway[J]. Journal of Transport Information and Safety, 2023, 41(4): 33-43. doi: 10.3963/j.jssn.1674-4861.2023.04.004
Citation: TANG Hao, TANG Zhongze, ZHANG Chi, WEI Bin, ZHANG Kunlun, YANG Kun. An Analysis of Driving Behavior on Short Distance Section between Tunnel and the Exit of Main Roadway[J]. Journal of Transport Information and Safety, 2023, 41(4): 33-43. doi: 10.3963/j.jssn.1674-4861.2023.04.004
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An Analysis of Driving Behavior on Short Distance Section between Tunnel and the Exit of Main Roadway

doi: 10.3963/j.jssn.1674-4861.2023.04.004
  • 1.

    Shenzhen Comprehensive Transportation and Municipal Engineering Design and Research Institute Co., Ltd., Shenzhen 518000, Guangdong, China

  • 2.

    Sichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu, 610000, China

  • 3.

    School of Highway, Chang'an University, Xi'an 710064, China

  • 4.

    Guangdong Province Communications Planning & Design Institute Co., Ltd., Guangzhou 510000, China

  • Received Date: 2022-04-16
    Available Online: 2023-11-23
    Abstract
  • A short distance section is a section between the tunnel and the mainline exit of a mountainous highway whose length is lower than the normative value because of the limitation of geographical and investment factors. In order to analyze the driving characteristics of this area thus to enhance the theoretical base for mountain road design and traffic control, high-definition driving videos are collected by drones in 7 mountain roads (e.g., Qinling service area) with short distance sections in China. The high-precision speed and trajectory data of vehicles across the entire region have been extracted. The SIFT algorithm is used for video stabilization. The YOLOv5 and DeepSORT algorithms are adopted for vehicle detection and tracking. The Savitzky-Golay filter is utilized to filter the data. Finally, high precision driving data can be obtained based on the above methods. It is verified that the accuracy of speed can reach more than 95% and the error of trajectory is less than 20 cm. Next, the driving characteristics are analyzed from a variety of perspectives, such as clearance distance, vehicle type, lane distribution, and others. The results show that: ①the driving characteristics on short distance section are very different from those on usual road section that the speed distribution does not follow a normal distribution; ②generally the outgoing vehicles would be steady 10 to 20 m ahead of the commencement of the fading phase; ③the speed of trucks is smoother as truck drivers can identify the exit road conditions more quickly than the car drivers because of the larger angle of view; ④approximately 20 meters after the starting point of the transition section, the cars in the inner lane enter the deceleration lane with a lateral speed of 1.1 to 1.4 m/s, and when the mainline has a leftward curve it is most favorable to drive out; ⑤the clearance distance has the highest influence on driving behaviors, the traffic volume affects the most among traffic flow factors while the direction of curve deflection and deflection angle affect the most among the road geometry factors.

     

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