• DocumentCode
    2055240
  • Title

    Optimal model for university classroom assignment to reduce traffic volume

  • Author

    Zhejun Liu

  • Author_Institution
    Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2013
  • fDate
    29-31 Aug. 2013
  • Firstpage
    375
  • Lastpage
    378
  • Abstract
    Computer-aided classroom assignment is very common and efficient, which can reduce a huge amount of work for educational administrators. Its result will determine the OD pairs for students and professors as well as the traffic volumes and traffic flow paths on campus. Certain optimization can be done to reduce the traffic volume both among and within buildings by manipulating the assigning results. By putting courses into adjacent time slots which have a large inter-course traffic volume between them into the same building, the total traffic volume can be diminished. To determine the plans for this manipulation towards the existing classroom assignment, enough information of courses, buildings and students is needed. The comprehensive management systems which are used commonly among universities can provide pretty good data to support us. Optimization can be achieved which will reduce the traffic congestion and improve resource utilization using the knowledge of traffic demand management.
  • Keywords
    computer aided instruction; educational administrative data processing; educational courses; educational institutions; optimisation; OD pairs; adjacent time slots; assigning results; buildings; campus; comprehensive management systems; computer-aided classroom assignment; educational administrators; intercourse traffic volume; optimal model; optimization; resource utilization; traffic congestion; traffic demand management; traffic flow paths; traffic volume reduction; university classroom assignment; Databases; Educational institutions; Floors; Optimization; Processor scheduling; Solid modeling; Classroom Assignment; Optimization Modeling; Traffic Demand Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Technology (INTECH), 2013 Third International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4799-0047-3
  • Type

    conf

  • DOI
    10.1109/INTECH.2013.6653705
  • Filename
    6653705