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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2007  >  36(2): 267-270

ZHANG Peng, Zhang Jing, LIU Yu-zeng, TANG Xue-fei. Rough Set Application in the Analysis of Formulation Cause of Traffic Black-Spot[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 267-270.
Citation: ZHANG Peng, Zhang Jing, LIU Yu-zeng, TANG Xue-fei. Rough Set Application in the Analysis of Formulation Cause of Traffic Black-Spot[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 267-270.
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Rough Set Application in the Analysis of Formulation Cause of Traffic Black-Spot

  • 1.

    School of Computer Science and Engineering,Univ. of Electron. Sci. & Tech. of China Chengdu 610054;

  • 2.

    Campus Network Center,Panzhihua University Panzhihua Sichuan 617000

  • Received Date: 2005-03-16
  • Publish Date: 2007-12-15
  • The traffic black-spot cause of formation is very complex, and every black-spot has the most important inducement for itself. The identification and improvement of black-spot, as an important task of traffic safety management, are very effect measures to reduce the traffic accident frequency. For the complexity and diversity of the black-spot cause of formation, we find a method based on the rough set to determine the most important inducement of the black-spot, then we can repair the inducement in effect and save more time and money.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Rough Set Application in the Analysis of Formulation Cause of Traffic Black-Spot

  • 1. School of Computer Science and Engineering,Univ. of Electron. Sci. & Tech. of China Chengdu 610054;
  • 2. Campus Network Center,Panzhihua University Panzhihua Sichuan 617000
  • Received Date: 2005-03-16
  • Publish Date: 2007-12-15

Abstract: The traffic black-spot cause of formation is very complex, and every black-spot has the most important inducement for itself. The identification and improvement of black-spot, as an important task of traffic safety management, are very effect measures to reduce the traffic accident frequency. For the complexity and diversity of the black-spot cause of formation, we find a method based on the rough set to determine the most important inducement of the black-spot, then we can repair the inducement in effect and save more time and money.

ZHANG Peng, Zhang Jing, LIU Yu-zeng, TANG Xue-fei. Rough Set Application in the Analysis of Formulation Cause of Traffic Black-Spot[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 267-270.
Citation: ZHANG Peng, Zhang Jing, LIU Yu-zeng, TANG Xue-fei. Rough Set Application in the Analysis of Formulation Cause of Traffic Black-Spot[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 267-270.
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