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高速公路车辆排队尾部交通事故时空分布特征

李志斌 王炜 李晓伟 王昊

李志斌, 王炜, 李晓伟, 王昊. 高速公路车辆排队尾部交通事故时空分布特征[J]. 交通运输工程学报, 2014, 14(4): 76-81.
引用本文: 李志斌, 王炜, 李晓伟, 王昊. 高速公路车辆排队尾部交通事故时空分布特征[J]. 交通运输工程学报, 2014, 14(4): 76-81.
LI Zhi-bin, WANG Wei, LI Xiao-wei, WANG Hao. Spatial and temporal distribution characteristics of traffic accident for highway vehicle queue tail[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 76-81.
Citation: LI Zhi-bin, WANG Wei, LI Xiao-wei, WANG Hao. Spatial and temporal distribution characteristics of traffic accident for highway vehicle queue tail[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 76-81.

高速公路车辆排队尾部交通事故时空分布特征

基金项目: 

国家973计划项目 2012CB725400

国家863计划项目 2012AA112304

国家自然科学基金项目 51008074

详细信息
    作者简介:

    李志斌(1983-), 男, 河北唐山人, 东南大学工学博士研究生, 从事交通安全与控制研究

    王炜(1959-), 男, 浙江绍兴人, 东南大学教授, 工学博士

  • 中图分类号: U491.31

Spatial and temporal distribution characteristics of traffic accident for highway vehicle queue tail

More Information
  • 摘要: 根据高速公路常发拥堵路段的交通流数据, 采用累计占有率法绘制交通流占有率波动曲线, 用来判断拥堵路段内车辆排队尾部轨迹, 分析了占有率、里程位置、时间间隔的关系, 确定了累计占有率曲线的拐点。分析了排队传播、消散过程中交通事故频数与时间、空间距离的关系, 对分布特征进行了统计分析。分析结果表明: 车辆在时间和空间上接近排队车辆尾部时, 发生交通事故的频数明显增加, 时间距离与空间距离以排队尾部为中心呈现正态分布, 不同行驶方向路段内正态分布曲线不存在显著差异, 但拥堵传播与消散过程的正态分布曲线存在显著差异。建立的事故发生概率的联合正态分布模型, 可用于预测排队车辆尾部附近的交通事故风险, 为实施动态交通控制以提高快速道路交通安全提供理论依据。

     

  • 图  1  排队传播过程

    Figure  1.  Queue propagation process

    图  2  排队消散过程

    Figure  2.  Queue dissipation process

    图  3  检测器位置

    Figure  3.  Detector positions

    图  4  路段1拥堵传播与消散过程

    Figure  4.  Propagation and dissipation process of congestion at section 1

    图  5  路段2拥堵传播与消散过程

    Figure  5.  Propagation and dissipation process of congestion at section 2

    图  6  时间间隔与里程位置的关系

    Figure  6.  Relations between time interval and mileage position

    图  7  累计占有率曲线

    Figure  7.  Cumulative occupancy curves

    图  8  累计占有率曲线的拐点

    Figure  8.  Inflection points of cumulative occupancy curves

    图  9  排队传播过程中交通事故频数与空间距离的关系

    Figure  9.  Relations between traffic accident frequencies and spatial distances during queue propagation

    图  10  排队传播过程中交通事故频数与时间距离的关系

    Figure  10.  Relations between traffic accident frequencies and temporal distances during queue propagation

    图  11  排队消散过程中交通事故频数与空间距离的关系

    Figure  11.  Relations between traffic accident frequencies and spatial distances during queue dissipation

    图  12  排队消散过程中交通事故频数与时间距离的关系

    Figure  12.  Relations between traffic accident frequencies and temporal distances during queue dissipation

    表  1  K-S单样本检验结果

    Table  1.   One-sample K-S test results

    下载: 导出CSV

    表  2  K-S双样本检验结果

    Table  2.   Two-sample K-S test results

    下载: 导出CSV
  • [1] ABDEL-ATY M, UDDIN N, PANDE A, et al. Predicting freeway crashes from loop detector data by matched case-control logistic regression[J]. Transportation Research Record, 2004(1897): 88-95.
    [2] ABDEL-ATY M, UDDIN N, PANDE A. Split models for predicting multivehicle crashes during high-speed and lowspeed operating conditions on freeways[J]. Transportation Research Record, 2005(1908): 51-58.
    [3] PANDE A, ABDEL-ATY M. Comprehensive analysis of the relationship between real-time traffic surveillance data and rear-end crashes on freeways[J]. Transportation Research Record, 2006(1953): 31-40.
    [4] HOSSAIN M, MUROMACHI Y. Understanding crash mechanisms and selecting interventions to mitigate real-time hazards on urban expressways[J]. Transportation Research Record, 2011(2213): 53-62.
    [5] XU Cheng-cheng, WANG Wei, LIU Pan. A genetic programming model for real-time crash prediction on freeways[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(2). 574-586. doi: 10.1109/TITS.2012.2226240
    [6] ZHENG Z D, AHN S, MONSERE C M. Impact of traffic oscillations on freeway crash occurrences[J]. Accident Analysis and Prevention, 2010, 42(2): 626-636.
    [7] CHUNGK, JANG K, OUM S, et al. Investigation of attributesof kinematic waves preceding traffic collisions[C]//TRB. The90th Annual Meeting of the Transportation Research Board. Washington DC. TRB, 2011.28-39.
    [8] YEO H, JANG K, SKABARDONIS A. Impact of trafficstates on freeway collision frequency[C]//TRB. The 89thAnnual Meeting of the Transportation Research Board. Washington DC: TRB, 2010: 13-27.
    [9] XU Cheng-cheng, LIU Pan, WANG Wei, et al. Evaluationof the impacts of traffic states on crash risks on freeways[J]. Accident Analysis and Prevention, 2012, 47(1): 162-171.
    [10] LI Zhi-bin, AHN S, CHUNG K, et al. Surrogate safetymeasure for evaluating rear-end collision risk related to kine-matic waves near freeway recurrent bottlenecks[J]. AccidentAnalysis and Prevention, 2014, 64(4): 52-61.
    [11] LI Zhi-bin, WANG Wei, CHEN Ruo-yun, et al. Evaluationof the impacts of speed variation on freeway traffic collisionsin various traffic states[J]. Traffic Injury Prevention, 2013, 14(8〉. 861-866.
    [12] CASSIDYM J, BERTINI R L. Some traffic features of free-way bottlenecks[J]. Transportation Research Part B: Meth-odological, 1999, 33(1): 25-42. doi: 10.1016/S0191-2615(98)00023-X
    [13] CHUNG K, RUDJANAKANOKNAD J, CASSIDY M J. Relation between traffic density and capacity drop at three freeway bottlenecks[J]. Transportation Research Part B: Methodological, 2007, 41(1): 82-95. doi: 10.1016/j.trb.2006.02.011
    [14] SMIRNOVN V. Tables for estimating the goodness of fit of empirical distributions[J]. The Annals of Mathematical Statistics, 1948, 19(2): 279-281. doi: 10.1214/aoms/1177730256
    [15] JUSTEL A, PENA D, ZAMAR R. A multivariate Kolmogorov-Smirnov test of goodness of fit[J]. Statistics and Probability Letters, 1997, 35(3): 251-259. doi: 10.1016/S0167-7152(97)00020-5
    [16] CARLSON R C, PAPAMICHAIL I, PAPAGEORGIOU M, et al. Optimal mainstream traffic flow control of large-scale motorway networks[J]. Transportation Research Part C: Emerging Technologies, 2010, 18(2): 193-212. doi: 10.1016/j.trc.2009.05.014
    [17] WANG Yi-bin, PAPAGEORGIOU M, SARROS G, et al. Feedback route guidance applied to a large-scale express ring road[J]. Transportation Research Record, 2006(1965): 79-88.
    [18] LI Zhi-bin, LIU Pan, WANG Wei, et al. Development of a control strategy of variable speed limits to reduce rear-end collision risks near freeway recurrent bottlenecks[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(2): 866-877. doi: 10.1109/TITS.2013.2293199
    [19] WU Yi-hu, YU Dan, YU Wei, et al. Double-layer ramp-metering model for incident congestion on expressway[J]. Journal of Traffic and Transportation Engineering: English Edition, 2014, 1(2): 129-137. doi: 10.1016/S2095-7564(15)30097-0
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出版历程
  • 收稿日期:  2014-04-01
  • 刊出日期:  2014-08-25

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