• DocumentCode
    1991260
  • Title

    Genetic traffic regulation testing system

  • Author

    Wang, Junling ; Cai, Yan

  • Author_Institution
    Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    2254
  • Lastpage
    2257
  • Abstract
    Traffic accidents have become the world´s worst harm while China is the world´s largest number of traffic fatalities in the world in recent 10 years. One of the main reasons is the drivers´ lack of traffic regulation knowledge. This paper focuses on the correlation between the traffic regulation test and traffic accident, and how to design a more scientific traffic regulation test system. With the support of genetic ideology, we propose a genetic traffic regulation testing system considering the test procedure and examinee´s performance. Experiment shows that it can rather objectively judge level the examinee understanding of traffic regulations.
  • Keywords
    genetic algorithms; road accidents; road traffic; genetic algorithm; genetic ideology; genetic traffic regulation testing system; traffic accident; traffic fatality; traffic regulation knowledge; Accidents; Computational modeling; Monitoring; Sensors; Testing; Transportation; Wireless sensor networks; Genetic Algorithm; SGA; Traffic Regulation Testing; objectiveness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057898
  • Filename
    6057898