• DocumentCode
    3279049
  • Title

    Station segmentation of Hangzhou public free-bicycle system based on improved randomized algorithm

  • Author

    Wu, Hao ; Fang, Xujian ; Xu, Haitao

  • Author_Institution
    Sch. of Software Eng., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    4
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    1588
  • Lastpage
    1592
  • Abstract
    In order to cope with "the last kilometer to end a transit trip", hence to ease traffic and parking difficulties, and to boost a sustainable green transportation system, this paper focuses on a bike sharing program implemented in Hangzhou, Zhejiang. There are many and many technology problems in the decision of intelligent dispatch. In this paper, we consider a special case of the system, it is to segment the stations into two sections. An improved randomized algorithm is proposed to do it. After analysis on the performance of algorithm, the result is 0.6378 and better that the trivial case of 0.5.
  • Keywords
    transportation; Hangzhou public free bicycle system; bike sharing program; green transportation system; intelligent dispatch decision; randomized algorithm improvement; station segmentation; Optimization; Segmentation; clustering; data mining; optimization; random algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6017022
  • Filename
    6017022