• DocumentCode
    2066194
  • Title

    On classification of early warning and response of Highway Traffic Emergency

  • Author

    Gong, Pengfei

  • Author_Institution
    Sch. of Transp., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    The classification of early warning and response of Highway Traffic Emergency (HTE) is the foundation of the solution to THE, as it is directly bound up with the responders, the available measures and resources. Firstly, this paper discusses three major factors that affect the classification to early warning and response of HTE: affected area, classes and property of highway, duration time. Based on factors analysis, scores are assigned for each factor through decision theory, and further the weight of each factor is determined through expert scoring and Analytical Hierarchy Process (AHP) method. After that, this paper is to establish classification function, and to define the range of scores for each class. Finally, this paper is to conduct a case study of accident of “3.29” liquid chlorine leaking at Jing-hu expressway, to prove the validity of the method.
  • Keywords
    alarm systems; decision making; decision theory; emergency services; pattern classification; road accidents; road traffic; AHP method; HTE; Jing-hu expressway; affected area; analytical hierarchy process method; classification function; decision theory; duration time; early warning classification; expert scoring; factors analysis; highway classes; highway property; highway traffic emergency response; liquid chlorine leaking; Accidents; Cities and towns; Decision theory; Indexes; Presses; Road transportation; AHP; classification; decision theory; early Warning and Response; highway traffic emergency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199148
  • Filename
    6199148