Volume 42 Issue 2
Apr.  2024
Turn off MathJax
Article Contents
WANG Yanpeng, ZHANG Jie, PAN Cunshu, CHEN Zhenghuan, XU Jin. Longitudinal Operational Characteristics of Cars between Small-spacing Interchanges on Freeway[J]. Journal of Transport Information and Safety, 2024, 42(2): 147-157. doi: 10.3963/j.jssn.1674-4861.2024.02.015
Citation: WANG Yanpeng, ZHANG Jie, PAN Cunshu, CHEN Zhenghuan, XU Jin. Longitudinal Operational Characteristics of Cars between Small-spacing Interchanges on Freeway[J]. Journal of Transport Information and Safety, 2024, 42(2): 147-157. doi: 10.3963/j.jssn.1674-4861.2024.02.015

Longitudinal Operational Characteristics of Cars between Small-spacing Interchanges on Freeway

doi: 10.3963/j.jssn.1674-4861.2024.02.015
  • Received Date: 2023-04-10
    Available Online: 2024-09-14
  • To clarify vehicles'characteristics of longitudinal operation between small-spacing interchanges (SSI) on freeways, a field test with 38 subjects is conducted at Baiyanggou Interchange and Paomaping Interchange in the Chongqing section of the G50 Shanghai-Chongqing Freeway. The onboard instruments collected operational data such as speed and longitudinal acceleration under natural-driving state. Then, the speed range, speed bandwidth, and aggregation coefficient are calculated to analyze the constraints of driving behavior and the characteristics of speed change. Finally, the cumulative frequency, probability distribution, and percentile values are investigated after extracting the peak value of each waveform of the longitudinal acceleration curve. The findings are as follows: In the SSI section, the merging and diverging zones tend to overlap, leading to a great degree of vehicle weaving and interference. Consequently, these areas are marked by a more significant difference of vehicle speed and a heightened degree of dispersion. The cross-sectional velocities typically exhibit a skewed distribution, with the speed range in the SSI being greater than that in other sections. Similarly, the longitudinal acceleration generally displays a skewed distribution, wherein the interval of acceleration negative value exceeds that of positive value. Traffic conditions in the SSI are notably complex, necessitating careful maneuver by drivers. Comparing to the normal-spacing interchanges, the average acceleration decreases by 0.28 m/s2 in SSI. In the process of merging, drivers exhibit variability in their preferences for acceleration, with a notable inclination towards higher acceleration positive value (0.542 m/s2) and lower acceleration negative value (-0.081 m/s2). Contrarily, in the process of exiting, drivers demonstrate a certain level of uniformity in their choice of acceleration rates, with minor disparities between the acceleration positive value (0.300 m/s2) and negative value (-0.350 m/s2) rates. Male drivers engage in longitudinal maneuver with a higher frequency than female drivers, albeit at a lower amplitude. Across different driving styles, a certain level of uniformity is observed in the trend of longitudinal acceleration changes.

     

  • loading
  • [1]
    CHEN H Y, LIU P, LU J, et al. Evaluating the safety impacts of the number and arrangement of lanes on freeway exit ramps[J]. AccidentAnalysis & Prevention, 2009, 41(3): 543-551. http://www.onacademic.com/detail/journal_1000034048046510_2753.html
    [2]
    MCCARTT A T, NORTHRUP V S, RETTING R A. 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]
    胡江碧, 何禄成, 王荣华, 等. 高速公路互通立交安全性评价研究综述[J]. 中国公路学报, 2020, 33(7): 17-28. doi: 10.3969/j.issn.1001-7372.2020.07.002

    HU J B, HE L C, WANG R H, et al. Review of safety evaluation of freeway interchange[J]. China Journal of Highway and Transport, 2020, 33(7): 17-28. (in Chinese) doi: 10.3969/j.issn.1001-7372.2020.07.002
    [4]
    WANG Y P, XU J, LIU X L, et al. Analysis on risk characteristics of traffic accidents in small-spacing expressway interchange[J]. International Journal of Environmental Research and Public Health, 2022, 19(16): 9938. doi: 10.3390/ijerph19169938
    [5]
    徐进, 崔强, 常旭, 等. 苜蓿叶形互通立交进/出口的纵向驾驶行为特征[J]. 东南大学学报(自然科学版), 2019, 49(6): 1205-1214.

    XU J, CUI Q, CHANG X, et al. Characteristics of longitudinal driving behavior in and out of alfalfa leaf-shaped interchange[J]. Journal of Southeast University (Natural Science Edition), 2019, 49(6): 1205-1214. (in Chinese)
    [6]
    张智勇, 郝晓云, 吴文斌, 等. 互通立交匝道运行速度预测模型[J]. 交通运输系统工程与信息, 2015, 15(1): 93-99. doi: 10.3969/j.issn.1009-6744.2015.01.017

    ZHANG Z Y, HAO X Y, WU W B, et al. Interchange ramp speed prediction model[J]. Transportation Systems Engineering and Information, 2015, 15(1): 93-99. (in Chinese) doi: 10.3969/j.issn.1009-6744.2015.01.017
    [7]
    张驰, 宫权利, 马向南, 等. 互通立交单车道入口小客车运行速度模型[J]. 长安大学学报(自然科学版), 2018, 38(4): 71-79. doi: 10.3969/j.issn.1671-8879.2018.04.009

    ZHANG C, GONG Q L, MA X N, et al. Running speed model of passenger car at single lane entrance of interchange[J]. Journal of Chang'an University (Natural Science Edition), 2018, 38(4): 71-79. (in Chinese) doi: 10.3969/j.issn.1671-8879.2018.04.009
    [8]
    BOSETTI P, DA LIO M, SAROLDI A. On curve negotiation: from driver support to automation[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(4): 2082-2093. doi: 10.1109/TITS.2015.2395819
    [9]
    FANG F C, ELEFTERIADOU L. Some guidelines for selecting micro simulation models for interchange traffic operational analysis[J]. Journal of Transportation Engineering, 2005, 131(7): 535-543. doi: 10.1061/(ASCE)0733-947X(2005)131:7(535)
    [10]
    侯珊珊, 张杰, 张雪榆, 等. 考虑驾驶风格的高密度立交群出入口车辆驾驶风险研究[J]. 科学技术与工程, 2024, 24(10): 4317-4328. doi: 10.12404/j.issn.1671-1815.2301892

    HOU S S, ZHANG J, ZHANG X Y, et al. Investigation on the driving risk of high-density over-exchange group vehicles considering driving style[J]. Science Technology and Engineering, 2024, 24(10): 4317-4328. (in Chinese) doi: 10.12404/j.issn.1671-1815.2301892
    [11]
    林伟. 基于自然驾驶的互通立交匝道横向加速度特性研究[D]. 重庆: 重庆交通大学, 2018.

    LIN W. Study on lateral acceleration characteristics of interchange ramp based on natural driving[D]. Chongqing: Chongqing Jiaotong University, 2018. (in Chinese)
    [12]
    崔强. 基于自然驾驶的互通立交匝道纵向运行特性研究[D]. 重庆: 重庆交通大学, 2018.

    CUI Q. The longitudinal operating characteristics of the interchange ramps based on naturalistic driving study[D]. Chongqing: Chongqing Jiaotong University, 2018. (in Chinese)
    [13]
    窦同乐, 向健, 徐进. 苜蓿叶形立交行驶安全性与舒适性仿真研究[J]. 中国科技论文, 2020, 15(2): 201-207. doi: 10.3969/j.issn.2095-2783.2020.02.011

    DOU T L, XIANG J, XU J. Research on safety and comfort of clover-shaped interchange by virtual experiment[J]. China Science Paper, 2020, 15(2): 201-207. (in Chinese) doi: 10.3969/j.issn.2095-2783.2020.02.011
    [14]
    刘俊. 基于实车试验的互通立交匝道小客车加速度特性研究[D]. 重庆: 重庆交通大学, 2020.

    LIU J. Study acceleration characteristics of interchange ramp based on vehicle road test[D]. Chongqing: Chongqing Jiaotong University, 2020. (in Chinese)
    [15]
    YAMAKADO M, ABE M. An experimentally confirmed driver longitudinal acceleration control model combined with vehicle lateral motion[J]. Vehicle System Dynamics, 2008, 46(S1): 129-149.
    [16]
    EBOLI L, MAZZULLA G, PUNGILLO G. Combining speed and acceleration to define car users'safe or unsafe driving behaviour[J]. Transportation Research Part C: Emerging Technologics, 2016(68): 113-125.
    [17]
    LIU J, KHATTAK A J. Delivering improved alerts, warnings, and control assistance using basic safety messages transmitted between connected vehicles[J]. Transportation Research Part C: Emerging Technologics, 2016(68): 83-100.
    [18]
    DERBEL O, LANDRY R J. Driver behavior assessment based on the G-G diagram in the DVE system[J]. IFAC-PapersOnLine, 2016, 49(11): 89-94. doi: 10.1016/j.ifacol.2016.08.014
    [19]
    徐进, 孙子秋, 王思棋, 等. 高密度互通立交出口匝道驾驶人视觉搜索行为特征[J]. 东南大学学报(自然科学版), 2022, 52(6): 1189-1198.

    XU J, SUN Z Q, WANG S Q, et al. Characteristics of driver's visual search behavior in exit ramp of high-density interchanges[J]. Journal of Southeast University (Natural Science Edition), 2022, 52(6): 1189-1198. (in Chinese)
    [20]
    徐进, 杨雪敏, 张雪榆, 等. 基于自然驾驶数据的高密度立交出入口车辆轨迹特征研究[J]. 交通信息与安全, 2023, 41(6): 20-31. doi: 10.3963/j.jssn.1674-4861.2023.06.003

    XU J, YANG X M, ZHANG X Y, et al. An investigation on vehicle trajectory characteristics at exit and entrance of high-density interchanges based on naturalistic driving data[J]. Journal of Transport Information and Safety, 2023, 41(6): 20-31. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2023.06.003
    [21]
    杨迪. 高密度互通立交出入口驾驶人精神负荷研究[D]. 重庆: 重庆交通大学, 2022.

    YANG D. Study on driver's mental workload at the entrance and exit of high-density interchange[D]. Chongqing: Chongqing Jiaotong University, 2022. (in Chinese)
    [22]
    徐进, 潘存书, 符经厚, 等. 典型道路场景以及场景切换时的速度行为特性[J]. 吉林大学学报(工学版), 2021, 51(4): 1331-1341.

    XU J, PAN C S, FU J H, et al. Speed behavior characteristic on typical driving scenarios and along switched scenarios[J]. Journal of Jilin University (Engineering and Technology Edition), 2021, 51(4): 1331-1341. (in Chinese)
  • 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(14)  / Tables(2)

    Article Metrics

    Article views (47) PDF downloads(2) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return