• DocumentCode
    136702
  • Title

    School bus routing problem based on ant colony optimization algorithm

  • Author

    Lingmei Huo ; Guifeng Yan ; Bowen Fan ; Hongzhou Wang ; Weitao Gao

  • Author_Institution
    Sch. of Math. & Stat., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    As an important aspect of the educational service, school bus plays a significant role in student´s daily travel. School bus routing problem is an important part of school bus transport system. Rational optimization of the school bus routing operation can reduce the cost of school bus service and bring convenience to students and their families, so it has theoretical and practical significance. This paper studies the related model and algorithm of school bus routing problem. For single-center and single-vehicle problem, mathematical model is built. As a case, a secondary school in Beijing is selected and analyzed intensively. The strategy of location-allocation-routing is used to complete the questionnaire analysis, address distribution analysis, stops selection and route generation. Then the problem is solved by ant colony optimization algorithm. The results show that the model proposed in this paper is applicable to real life.
  • Keywords
    ant colony optimisation; educational institutions; vehicle routing; Beijing; address distribution analysis; ant colony optimization algorithm; educational service; location-allocation-routing; mathematical model; questionnaire analysis; school bus routing; school bus transport system; Ant colony optimization; Educational institutions; Heuristic algorithms; Mathematical model; Optimization; Roads; Routing; ant colony optimization; routing; school bus; single-center;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6940973
  • Filename
    6940973