• DocumentCode
    254839
  • Title

    A Data Model for Guide Sign System and Its Application in Guide Sign Placement

  • Author

    Huang Min ; Niu Zhongming ; Li Erda ; Zhang Xu

  • Author_Institution
    Sch. of Eng., Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2014
  • fDate
    4-6 Aug. 2014
  • Firstpage
    110
  • Lastpage
    116
  • Abstract
    Guide signs are recognized to be one of the most important elements in road facilities. The frequent changes of road network structure and traffic control strategies in urban area promote the need of updating guide sign dynamically and designing a placement solution rapidly. In order to accomplish those requirements, a data model is introduced to describe the guide sign system and the extracting data will be stored in the guide sign database. The data model is composed of five core components: junction, road segment, guide sign location, guide sign panel, and guide sign item. A Point of Interest Oriented Placement Method (POIOPM) is proposed to accomplish the need of designing a placement solution for POI rapidly. Finally, the placement solution to the proposed data model is built on the platform of ArcGIS and C#. It has shown the solution matches the practical guide signs. This indicates the correctness and reliability of the proposed data model.
  • Keywords
    C language; data models; database management systems; geographic information systems; traffic engineering computing; ArcGIS; C#; POIOPM; data model; guide sign database; guide sign item; guide sign location; guide sign panel; guide sign placement; guide sign system; junction; point of interest oriented placement method; road facilities; road network structure; road segment; traffic control strategies; Data models; Geometry; Junctions; Network topology; Roads; Topology; Vehicles; data model; guide sign; guide sign placement; point of interest; road network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Geospatial Research and Application (COM.Geo), 2014 Fifth International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/COM.Geo.2014.12
  • Filename
    6910134