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
Link To Document :
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