Volume 12 Issue 3
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2012  >  12(3): 120-126
LIU Miao-miao, LU Guang-quan, WANG Yun-peng, TIAN Da-xin. Quantitative method of traffic conflict severity at intersection[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 120-126. doi: 10.19818/j.cnki.1671-1637.2012.03.018
Citation: LIU Miao-miao, LU Guang-quan, WANG Yun-peng, TIAN Da-xin. Quantitative method of traffic conflict severity at intersection[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 120-126. doi: 10.19818/j.cnki.1671-1637.2012.03.018
shu

Quantitative method of traffic conflict severity at intersection

doi: 10.19818/j.cnki.1671-1637.2012.03.018

  • School of Transportation Science and Engineering, Beihang University, Beijing 100191, China

More Information
  • Author Bio:

    LIU Miao-miao (1986-), female, doctoral student, +86-10-82316330, liumiao-0605@ae.buaa.edu.cn

    LU Guang-quan (1974-), male, associate professor, PhD, +86-10-82316330, lugq@buaa.edu.cn

  • Received Date: 2012-01-23
  • Publish Date: 2012-06-25
    Abstract
  • In order to improve the precision in traffic conflict severity discrimination, a quantitative method for conflict severity at intersection was proposed based on the circle assumption of motor units and video detection technology.The moving parameters of motor units were obtained by using the video processing program and the real-time collected video images.Conflict detection and conflict time were determined by using iterative method.Considering the braking performance of vehicle, the critical value of conflict severity was obtained by the ratio of braking distance to instantaneous speed.The quantization value of conflict severity was established taking conflict time and critical value as parameters, and the severity of traffic conflict was quantified and classified.A certain intersection in Beijing was analyzed.Analysis result shows that the quantization values of conflict severity between two motor units increase from 1.32 to 2.45, and then decrease until no conflict exists.Driver would take emergency braking measures with the increasing of conflict severity, and then the conflict severity decreases until disappears.The quantitative result accords with the practical situation, and the method could be used in conflict detection and the severity quantification of traffic conflict conveniently.

     

    • FullText(HTML)
  • loading
    • References(16)
  • [1]
    唐阳山, 李江, 田育耕, 等. 交通冲突量的混沌预测[J]. 吉林大学学报: 工学版, 2005, 35(6): 646-648. https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY200506016.htm

    TANG Yang-shan, LI Jiang, TIAN Yu-geng, et al. Chaos forecast for traffic conflict flow[J]. Journal of Jilin University: Engineering and Technology Edition, 2005, 35(6): 646-648. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY200506016.htm
    [2]
    CHIN H C, QUEK S T. Measurement of traffic conflicts[J]. Safety Science, 1997, 26(3): 169-185. doi: 10.1016/S0925-7535(97)00041-6
    [3]
    张苏. 中国交通冲突技术的研究[D]. 成都: 西南交通大学, 1997.

    ZHANG Su. A study of Chinese traffic conflict technique[D]. Chengdu: Southwest Jiaotong University, 1997. (in Chinese).
    [4]
    TIWARI G, MOHAN D, FAZIO J. Conflict analysis for prediction of fatal crash locations in mixed traffic streams[J]. Accident Analysis and Prevention, 1998, 30(2): 207-215. doi: 10.1016/S0001-4575(97)00082-1
    [5]
    周娇, 陈学武. 城市道路交叉口机非冲突概率研究[J]. 交通标准化, 2011(5): 75-78. https://www.cnki.com.cn/Article/CJFDTOTAL-JTBH2011Z2057.htm

    ZHOU Jiao, CHEN Xue-wu. Research on the probability of vehicle and non-vehicle collision at urban road intersection[J]. Transport Standardization, 2011(5): 75-78. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JTBH2011Z2057.htm
    [6]
    LU Guang-quan, LIU Miao-miao, WANG Yun-peng, et al. Quantifying the severity of traffic conflict by assuming mov-ing elements as points in intersection[C]∥ASCE. The2011International Conference of Chinese Transportation Profes-sionals. Nanjing: ASCE, 2011: 893-900.
    [7]
    李芳, 吴芳. 基于交叉口冲突技术的交叉口安全评价[J]. 交通科技与经济, 2011(5): 64-66. https://www.cnki.com.cn/Article/CJFDTOTAL-KJJJ201105021.htm

    LI Fang, WU Fang. Evalution of traffic safety at intersections based on traffic conflict technique[J]. Technology and Economy in Areas of Communications, 2011(5): 64-66. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KJJJ201105021.htm
    [8]
    袁黎, 王文卿, 项乔君, 等. 公路平面交叉口交通冲突分析模型研究[J]. 公路, 2009(2): 105-110. https://www.cnki.com.cn/Article/CJFDTOTAL-GLGL200902023.htm

    YUAN Li, WANG Wen-qing, XIANG Qiao-jun, et al. A study on analysis model of highway intersections based on traffic conflict techniques[J]. Highway, 2009(2): 105-110. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLGL200902023.htm
    [9]
    王俊骅, 张方方, 张兰芳. 基于OpenCV和Halcon的交通冲突视频自动检测及数据处理[J]. 同济大学学报: 自然科学版, 2010, 38(2): 238-244. doi: 10.3969/j.issn.0253-374x.2010.02.015

    WANG Jun-hua, ZHANG Fang-fang, ZHANG Lan-fang. Halcon and OpenCV-based traffic automatic conflicting detecting method and data transaction[J]. Journal of Tongji University: Natural Science, 2010, 38(2): 238-244. (in Chinese). doi: 10.3969/j.issn.0253-374x.2010.02.015
    [10]
    张鑫. 交通冲突技术相关问题研究[D]. 北京: 北京交通大学, 2005.

    ZHANG Xin. Research on the related problems of traffic conflict technology[D]. Beijing: Beijing Jiaotong University, 2005. (in Chinese).
    [11]
    丛颖. 公路平面交叉口交通冲突分类及严重性划分[D]. 南京: 东南大学, 2008.

    CONG Ying. Detection and classification of traffic conflict at intersections and distinguishing of conflict severity[D]. Nanjing: Southeast University, 2008. (in Chinese).
    [12]
    HU Wei-ming, XIAO Xue-juan, XIE Dan, et al. Traffic accident prediction using vehicle tracking and trajectory analysis[C]∥IEEE. Proceedings of Intelligent Transportation Systems. Shanghai: IEEE, 2003: 220-225.
    [13]
    ATEV S, ARUMUGAM H, MASOUD O, et al. A vision-based approach to collision prediction at traffic intersections[J]. IEEE Transactions on Intelligent Transportation Systems, 2005, 6(4): 416-423. doi: 10.1109/TITS.2005.858786
    [14]
    SAUNIER N, SAYED T, LIM C. Probabilistic collision pre-diction for vision-based automated road safety analysis[C]∥IEEE. Proceedings of the2007IEEE Intelligent Transporta-tion Systems Conference. Seattle: IEEE, 2007: 872-878.
    [15]
    张方方. 基于视频的平面交叉口机动车交通冲突检测技术研究[D]. 上海: 同济大学, 2008.

    ZHANG Fang-fang. Study on a computer vision system for detecting traffic conflict between vehicles at intersections[D]. Shanghai: Tongji University, 2008. (in Chinese).
    [16]
    胡佳. 交叉口汽车冲突及避撞方式有效性分析[D]. 长沙: 湖南大学, 2005.

    HU Jia. Analysis on vehicles collision and effectiveness of crash avoidance manner at road intersections[D]. Changsha: Hunan University, 2005. (in Chinese).
    • 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
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1281) PDF downloads(1379) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return