• DocumentCode
    2923687
  • Title

    Layout Planning Study for Off-Road Park Facilities Based on Complex System Theory

  • Author

    Zhang, Xizhou ; Wen, Ying ; Liu, Jun ; Wan, Dan

  • Author_Institution
    Dept. of Traffic Planning & Manage., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    26-27 Dec. 2009
  • Firstpage
    271
  • Lastpage
    275
  • Abstract
    Urban off-road park facilities layout planning is an important component of the parking system planning and an integrated system engineering issue with multi-index and multi-constraint. This paper includes the study of the organizational mechanisms of parking facilities layout form and analysis of all factors that impact the public parking facilities layout. In this paper, the author established the simplified model of multi-objective optimization of the parking facilities site considering the highest social benefit of their layout. The Intelligent Ant Colony Optimization Algorithm is introduced to solve the model.
  • Keywords
    facilities layout; facilities planning; large-scale systems; optimisation; road traffic; complex system theory; integrated system engineering; intelligent ant colony optimization algorithm; multi-index issue; multi-objective optimization; multiconstraint issue; parking system planning; urban off-road park facilities layout planning; Ant colony optimization; Conference management; Costs; Industrial engineering; Information management; Innovation management; Systems engineering and theory; Technology management; Technology planning; Urban planning; Ant Colony Optimization Algorithm; Complex System Theory; layout planning; parking facilities; self-organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3876-1
  • Type

    conf

  • DOI
    10.1109/ICIII.2009.374
  • Filename
    5369789