Volume 41 Issue 4
Aug.  2023
Turn off MathJax
Article Contents
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
shu

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.

     

    • FullText(HTML)
  • loading
    • References(27)
  • [1]
    VOS J, FARAH H, HAGENZIEKER M. Speed behaviour upon approaching freeway curves[J]. Accident Analysis & Prevention, 2021, 159: 106276.
    [2]
    MCCARTT A, NORTHRUP V, RETTING R. Types and characteristics of ramp-related motor vehicle crashes on urban interstate roadways in Northern Virginia[J]. Journal of Safety Research, 2004, 35(1): 107-114. doi: 10.1016/j.jsr.2003.09.019
    [3]
    赵一飞, 陈敏, 潘兵宏. 隧道与互通式立交出口最小间距需求分析[J]. 长安大学学报(自然科学版), 2011, 31(3): 68-71. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201103015.htm

    ZHAO Y F, CHEN M, PAN B H. Minimumspacing demand analysis between tunnel and exit of interchange[J]. Journal of Chang'an University(Natural Science Edition), 2011, 31 (3): 68-71. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201103015.htm
    [4]
    丁瑞, 刘俊, 蒋艳, 等. 基于车辆加速度数据的互通立交匝道驾驶风险分析[J]. 交通信息与安全, 2021, 39(1): 17-25. doi: 10.3963/j.jssn.1674-4861.2021.01.0003

    DING R, LIU J, JIANG Y, et al. Driving risks of interchange ramps based on vehicle acceleration data[J]. Journal of Transport Information and Safety, 2021, 39(1): 17-25. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2021.01.0003
    [5]
    PINNOW J, MASOUD M, ELHENAWY M, et al. A review of naturalistic driving study surrogates and surrogate indicator viability within the context of different road geometries[J]. Accident Analysis & Prevention, 2021, 157: 106185.
    [6]
    陈云, 杜志刚, 焦方通, 等. 小半径公路短隧道入口段不同车型视觉负荷研究[J]. 武汉理工大学学报(交通科学与工程版), 2019, 43(4): 708-711, 717. https://www.cnki.com.cn/Article/CJFDTOTAL-JTKJ201904026.htm

    CHEN Y, DU Z G, JIAO F T, et al. Research on visual loads of different vehicle types in short tunnel entrance section of small radius highway[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2019, 43 (4): 708-711, 717. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JTKJ201904026.htm
    [7]
    QAID H, WIDYANTI A, SALMA S A, et al. Speed choice and speeding behavior on Indonesian highways: Extending the theory of planned behavior[J]. IATSS research, 2022, 46 (2): 193-199. doi: 10.1016/j.iatssr.2021.11.013
    [8]
    陈志贵, 王雪松, 张晓春, 等. 山区高速公路驾驶人加减速行为建模[J]. 中国公路学报, 2020, 33(7): 167-175. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202007017.htm

    CHEN Z G, WANG X S, ZHANG X C, et al. Modeling of driver acceleration and deceleration behavior in mountain freeways[J]. China Journal of Highway and Transport. 2020, 33(7): 167-175. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202007017.htm
    [9]
    ZHOU J, LUO Y, ZHZNG H, et al. Safety design strategy for highway interchange exit ramp[J]. Journal of Architectural Research and Development, 2021, 5(2): 1954.
    [10]
    张驰, 闫晓敏, 李小伟, 等. 互通式立交单车道出口小客车运行速度模型[J]. 中国公路学报, 2017, 30(6): 279-286. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201706011.htm

    ZHANG C, YAN X M, LI X W, et al. Operating speed model of passenger car at single-lane exit of interchange[J]. China Journal of Highway and Transport. 2017, 30(6): 279-286. (inChinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201706011.htm
    [11]
    姚晶, 王海君, 潘兵宏. 基于换道模型的高速公路隧道出口与主线分流点最小净距研究[J]. 中外公路, 2017, 37(4): 298-302. https://www.cnki.com.cn/Article/CJFDTOTAL-GWGL201704068.htm

    YAO J, WANG H J, PAN B H. Research on the minimum clear distance between the expressway tunnel exit and the main line diversion point based on the lane changing model[J]. Journal of China & Foreign Highway, 2017, 37(4): 298-302. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GWGL201704068.htm
    [12]
    廖军洪, 王芳, 邬洪波, 等. 高速公路互通立交与隧道最小间距研究[J]. 公路, 2012(1): 1-7. https://www.cnki.com.cn/Article/CJFDTOTAL-GLGL201201002.htm

    LIAO J H, WANG F, WU H B. Research on minimum distance between interchange and tunnel in expressway[J]. Highway, 2012, 1: 1-7. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLGL201201002.htm
    [13]
    盛启锦. 隧道群出口毗邻互通路段分离式指路标志设置研究[D]. 重庆: 重庆交通大学, 2020.

    SHENG Q J. Research on Setting of SeparateDirectional Signs for Tunnel Group Exit Adjacent to Mutual Intersection[D]. Chongqing: Chongqing Jiaotong University, 2020. (in Chinese)
    [14]
    PORTERA A, Bassani M. Experimental investigation into driver behavior along curved and parallel diverging terminals of exit interchange ramps[J]. Transportation research record, 2021, 2675(8): 254-267.
    [15]
    SINGH H, KATHURIA A. Analyzing driver behavior under naturalistic driving conditions: a review[J]. Accident Analysis & Prevention, 2021, 150: 105908.
    [16]
    PUNZO V, BORZACCHIELLO M T, CIUFFO B. On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation(NGSIM)program data[J]. Transportation Research Part C: Emerging Technologies, 2011, 19(6): 1243-1262.
    [17]
    KRAJEWSKI R, BOCK J, KLOEKER L, et al. The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems[C]. 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA: IEEE, 2018.
    [18]
    孔烜, 张杰, 邓露, 等. 基于机器视觉的车辆检测与参数识别研究进展[J]. 中国公路学报, 2021, 34(4): 13-30. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202104003.htm

    KONG H, ZHANG J, DENG L, et al. Research advances on vehicle parameter ldentification based on machine vision[J], China Journal of Highway and Transport, 2021, 34(4): 13-30. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202104003.htm
    [19]
    ZHANG C, TANG Z. ZHANG M., et al. Developing a more reliable aerial photography-based method for acquiring freeway traffic data[J]. Remote Sensing, 2022, 14(9): 2202.
    [20]
    LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
    [21]
    LIY L, DING Y Q, LI T. Nonlinear difusio fitering for peak-preseving smoothing of a spectrum signal[J]. Chemometrics and Intelient Laboratory Systems, 2016, 156: 157-165.
    [22]
    REINARTZ P, LACHAISE M, SCHMEER E, et al. Traffic monitoring with serial images from airborne cameras[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 61(3/4): 149-158.
    [23]
    邓国忠, 曹帆, 吴勇. 互通式立交与隧道出口小间距路段事故影响因素分析[J]. 中外公路, 2019, 39(4): 283-287. https://www.cnki.com.cn/Article/CJFDTOTAL-GWGL201904058.htm

    DENG G Z, CAO F, WU Y. Analysis on accidents influence factors of the small spacing section between intersection andtunnel exit[J]. Journal of China & Foreign Highway, 2019, 39(4): 283-287. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GWGL201904058.htm
    [24]
    戢晓峰, 谢世坤, 覃文文, 等. 基于轨迹数据的山区危险性弯道路段交通事故风险动态预测[J]. 中国公路学报, 2022, 35(4): 277-285. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202204023.htm

    JI X F, XIE S K, QIN W W, et al. Dynamic prediction of traffic accident risk in risky curve sections based on vehicle trajectory data[J], China Journal of Highway and Transport, 2022, 35(4): 277-285. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202204023.htm
    [25]
    阎莹, 王晓飞, 张宇辉, 等. 高速公路断面运行车速分布特征研究[J]. 中国安全科学学报, 2008, 18(7): 171-176. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK200807030.htm

    YAN Y, WANG X F, ZHANG Y H. Research on section operating speed distribution characteristics of expressway[J]. China Safety Science Journal, 2008, 18(7): 171-176. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK200807030.htm
    [26]
    蔡晓禹, 雷财林, 彭博, 等. 基于驾驶行为和信息熵的道路交通安全风险预估[J]. 中国公路学报, 2020, 33(6): 190-201. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202006019.htm

    CAI X Y, LEI C L, PENG B, et al. Road traffic safety risk estimation based on driving behavior and information entropy[J]. China Journal of Highway and Transport, 2020, 33 (6): 190-201. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL202006019.htm
    [27]
    阎莹, 张迎, 李庚凭, 等. 基于速度特征指标的高速公路线形一致性综合评价[J]. 安全与环境学报, 2017, 17(3): 835-839. https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ201703007.htm

    YAN Y, ZHANG Y, LI G P, et al. Comprehensive evaluation of the highway alignment consistency based on the driving speed index characteristic features[J]. Journal of Safety and Environment, 2017, 17(3): 835-839. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ201703007.htm
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(10)  / Tables(10)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (546) PDF downloads(34) Cited by()
    Proportional views
    Related

    Copyright Editorial Office of Transport Information and Safety鄂ICP备05003336号-2

    Address：No. 1178，Heping Avenue, Wuchang, Wuhan, CHINA (430063)

    Tel：027-86580355 Email：jtjsj@vip.163.com

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return