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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2011  >  11(4): 108-113
LIN Shan, XU Hong-ke, LIU Zhan-wen, LI Shu-guang. Traffic control method of highway tunnel emergency based on CBR and RBR[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 108-113. doi: 10.19818/j.cnki.1671-1637.2011.04.017
Citation: LIN Shan, XU Hong-ke, LIU Zhan-wen, LI Shu-guang. Traffic control method of highway tunnel emergency based on CBR and RBR[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 108-113. doi: 10.19818/j.cnki.1671-1637.2011.04.017
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Traffic control method of highway tunnel emergency based on CBR and RBR

doi: 10.19818/j.cnki.1671-1637.2011.04.017
  • 1.

    School of Electronic and Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

  • 2.

    School of Information Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

More Information
  • Author Bio:

    LIN Shan(1983-), male, doctoral student, +86-29-82336596, linshan@126.com

    XU Hong-ke(1963-), male, professor, PhD, +86-29-82334572, xuhongke@chd.edu.cn

  • Received Date: 2011-03-08
  • Publish Date: 2011-08-25
    Abstract
  • On the basis of traditional traffic control methods concluded by using experiences in highway tunnel, a traffic control method of highway tunnel emergency combining case-based reasoning (CBR) and rule-based reasoning (RBR) was provided by utilizing knowledge expression methods and rule-based expert system. A response plan generation and management system for highway tunnel vehicle guidance under emergency was set up based on the method. A parallel separate expressway tunnel was taken as example, cases were expressed as a triple-tuple form by using object-oriented expression method, including case attribution information, control scheme information and result information, and case similarity computation method was discussed. IF-THEN expression method was used, and the class attribute of highway tunnel emergency and the attribute of blocked lane numbers were combined, the reasoning rules of vehicle diffluence control strategy for single point traffic accident were produced. Simulation result shows that when the case number is insufficient, the traffic control method can reduce the generation time of response plan by 22% compared with CBR approach, and the method is efficacious.

     

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