基于视频信息的城市路段交通安全状态评估方法研究
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摘要
针对现有交通安全状态实时评估方法的评估效果不理想的问题,建立了基于视频信息的城市路段交通安全状态评估方法,分析了基于视频信息的交通流参数快速检测方法,从车速离散度的角度提出了影响城市路段交通安全状态的路段车速离散度的概念,建立了基于路段车速离散度的城市路段交通安全状态评估方法。实验表明,所提方法能够实时合理地对城市道路的安全状态水平进行评估,评估结果可以为交通管理部门制定有效的城市路段交通安全改进方案提供相应的依据。
Focusing on the problem that the evaluation results of the existing traffic safety state real-time evaluation methods were unsatisfactory,this paper proposed a safety state evaluation method of urban road traffic based on video information.Firstly,this paper analyzed the rapid detection method of traffic flow parameters based on video information. Then,it proposed the concept of vehicle velocity dispersion of urban road from the point of view of vehicle speed dispersion. Finally,it established a safety state evaluation method of urban road traffic based on road velocity dispersion. The experimental results show that the proposed method can evaluate the safety state level of urban road traffic in real time and in a reasonable way. And the evaluation result can provide the corresponding basis for the traffic management department to develop effective urban road traffic safety improvement program.
Focusing on the problem that the evaluation results of the existing traffic safety state real-time evaluation methods were unsatisfactory,this paper proposed a safety state evaluation method of urban road traffic based on video information.Firstly,this paper analyzed the rapid detection method of traffic flow parameters based on video information. Then,it proposed the concept of vehicle velocity dispersion of urban road from the point of view of vehicle speed dispersion. Finally,it established a safety state evaluation method of urban road traffic based on road velocity dispersion. The experimental results show that the proposed method can evaluate the safety state level of urban road traffic in real time and in a reasonable way. And the evaluation result can provide the corresponding basis for the traffic management department to develop effective urban road traffic safety improvement program.
引文
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[15]任彦铭,李铁柱,孙婵.城市主干路路段车速分布特性研究[J].交通运输工程与信息学报,2013,11(3):98-105.(Ren Yanming,Li Tiezhu,Sun Chan. Research on speed distribution characteristics of basic sections of urban major arteries[J]. Journal of Transportation Engineering and Information,2013,11(3):98-105.)
[16]杨院,韦玮.基于安全度的高速公路车辆行驶速度评价研究[J].西华大学学报:自然科学版,2009,28(3):39-42.(Yang Yuan,Wei Wei. Research on vehicle operating speed in highway based on safety degree[J]. Journal of Xihua University:Natural Science,2009,28(3):39-42.)
[2]盖靖元.基于车速离散度的路段交通安全评估方法研究[D].南京:东南大学,2016.(Gai Jingyuan. A study on assessment of road traffic safety based on speed dispersion[D]. Nanjing:Southeast University,2016.)
[3] Dobromirov V,Evtiukov S,Duncheva E,et al. Methodology and results of the traffic safety evaluation on the saint Petersburg ring road[J]. Transportation Research Procedia,2017,20(12):151-158.
[4]方雪洋.混合交通环境下车速离散对交通安全的影响机理研究[D].南京:东南大学,2015.(Fang Xueyang. A study on the effects of speed dispersion on road traffic safety evaluation on mixed traffic[D]. Nanjing:Southeast University,2015.)
[5]吴义虎,武志平.基于平均车速和车速标准差的路段安全分析方法[J].公路交通科技,2008,25(3):139-142.(Wu Yihu,Wu Zhiping. A safety analysis method for highway based on average speed and speed standard deviation[J]. Journal of Highway and Transportation Research and Development,2008,25(3):139-142.)
[6] Cao Binru,Liu Yong,Qian Wuyong,et al. Construction of the evalua-tion system for regional road traffic safety and application based on a grey integrated evaluation model[C]//Proc of IEEE International Conference on Grey Systems and Intelligent Services. Piscataway,NJ:IEEE Press,2015:395-403.
[7] Li Yaoping,Li Jianlin,Li Bin,et al. Study on road traffic safety evaluation based on improved Bayes model[C]//Applied Mechanics&Materials,vol 97-98. 2011:489-493.
[8] Wang Yafei,Zhang Dongxue. Evaluation of road traffic safety in Huai Yin district of Jinan city based on AHP[C]//Applied Mechanics&Materials,vol 505-506. 2014:1167-1171.
[9]魏武,张起森,王明俊,等.基于计算机视觉和图像处理的交通参数检测[J].信息与控制,2001,30(3):257-261.(Wei Wu,Zhang Qisen,Wang Mingjun,et al. Detection of traffic parameters based on computer vision and image processing[J]. Information and Control,2001,30(3):257-261.)
[10]王春波,张卫东,张文渊,等.复杂交通环境中车辆的视觉检测[J].上海交通大学学报,2000,34(12):1680-1682.(Wang Chunbo,Zhang Weidong,Zhang Wenyuan,et al. Vision-based vehicles detection in complex traffic scenes[J]. Journal of Shanghai Jiao Tong University,2000,34(12):1680-1682.)
[11]Stauffer C,Grimson W E L. Learning patterns of activity using realtime tracking[J]. IEEE Trans on Pattern Analysis&Machine Intelligence,2000,22(8):747-757.
[12]邵文坤,黄爱民,韦庆.目标跟踪方法综述[J].影像技术,2006(1):17-20.(Shao Wenkun,Huang Aimin,Wei Qing. Research on object tracking[J]. Image Technology,2006(1):17-20.)
[13]Park Y J,Miranda-Moreno L F,Saccomanno F F. Estimation of speed differentials on rural highways using multilevel models[C]//Proc of the 89th Annual Meeting of Transportation Research Board.[S. l.]:National Research Council of Canada,2010:1-6.
[14]王昊,王炜,陆建,等.基于跟驰理论的车速离散度定义及特性[J].东南大学学报:自然科学版,2009,39(1):161-165.(Wang Hao,Wang Wei,Lu Jian,et al. Car-following theory based speed dispersion definition and related properties[J]. Journal of Southeast University:Natural Science Edition,2009,39(1):161-165.)
[15]任彦铭,李铁柱,孙婵.城市主干路路段车速分布特性研究[J].交通运输工程与信息学报,2013,11(3):98-105.(Ren Yanming,Li Tiezhu,Sun Chan. Research on speed distribution characteristics of basic sections of urban major arteries[J]. Journal of Transportation Engineering and Information,2013,11(3):98-105.)
[16]杨院,韦玮.基于安全度的高速公路车辆行驶速度评价研究[J].西华大学学报:自然科学版,2009,28(3):39-42.(Yang Yuan,Wei Wei. Research on vehicle operating speed in highway based on safety degree[J]. Journal of Xihua University:Natural Science,2009,28(3):39-42.)