• DocumentCode
    130083
  • Title

    Improved hierarchical A-star algorithm for optimal parking path planning of the large parking lot

  • Author

    Liping Cheng ; Chuanxi Liu ; Bo Yan

  • Author_Institution
    Dept. of Electr. & Mech. Eng., Shandong Univ. of Sci. & Technol., Taian, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    695
  • Lastpage
    698
  • Abstract
    Which path was the optimal path in a large parking guidance system? Obviously, only considering the shortest distance is not enough, only considering the shortest time is an ideal goal but not easy to realize, so introduced a feasible time-optimal evaluation in parking path planning. It can not only simplify hardware design of the guidance system, but also reduce the software cost. Mathematical model R (P, C, D, V) of the parking lot network diagram was established, the all nodes in R (P, C, D, V) were divided into two layers and different evaluation functions were built. According to the improved time-optimal evaluation, the design used the improved A-star algorithm to increase searching efficiency and precision. Finally, the result of running the program shows that the algorithm can quickly find out the different time-optimal path for different attribute parameter.
  • Keywords
    path planning; road traffic control; search problems; attribute parameter; evaluation functions; hierarchical A-star algorithm; optimal parking path planning; parking guidance system; parking lot; parking lot network diagram; software cost reduction; time-optimal evaluation; Algorithm design and analysis; Artificial intelligence; Indexes; Optimization; Path planning; Roads; Vehicles; attribute parameter; evaluation function; hierarchical A-star algorithm; node; time-optimal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2014 IEEE International Conference on
  • Conference_Location
    Hailar
  • Type

    conf

  • DOI
    10.1109/ICInfA.2014.6932742
  • Filename
    6932742