DocumentCode
2946934
Title
Research on Model and Its Solving Algorithm for Transit Scheduling Problem
Author
Dong Yongfeng ; Li Nana ; Dong ZhengChao ; Gu Junhua ; Li Weini
Author_Institution
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
Volume
3
fYear
2009
fDate
11-12 April 2009
Firstpage
836
Lastpage
839
Abstract
This paper described the way of generating a reasonable bus scheduling, so that getting the lowest operating costs, the shortest waiting time for average passenger and the smallest vehicle demand in some bus lines of regional area. To achieve information resource and transport ability sharing, the transit regional scheduling optimization model is set up, and solved by hybrid simulated annealing/genetic algorithm for the different intervals and the different number in the region line of the departure times of the day. The experiment results showed that the model and the algorithm are feasibility and effective.
Keywords
genetic algorithms; scheduling; simulated annealing; transportation; vehicles; bus lines; bus scheduling; genetic algorithm; hybrid simulated annealing; information resource; smallest vehicle demand; solving algorithm; transit regional scheduling optimization model; transit scheduling problem; transport ability sharing; Area measurement; Costs; Genetic algorithms; Mechatronics; Optimization methods; Paper technology; Processor scheduling; Scheduling algorithm; Simulated annealing; Time measurement; genetic algorithm; optimization model; simulated annealing algorithm; transit scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.303
Filename
5203331
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