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
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;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.303