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
fDate :
Aug. 31 2014-Sept. 3 2014
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;
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
DOI :
10.1109/ITEC-AP.2014.6940973