DocumentCode :
2985857
Title :
Multi-objective Optimization of Bus Dispatching Based on Improved Genetic Algorithm
Author :
Du, Jinling ; Wang, Chunxiao ; Zhang, Feng
Author_Institution :
Sch. of Manage. Eng., Shan Dong Jianzhu Univ., Ji´´nan, China
fYear :
2011
fDate :
3-4 Dec. 2011
Firstpage :
106
Lastpage :
109
Abstract :
Bus trip is a healthy way to travel, and optimal bus dispatching decides social and economic benefits. Based on the analysis for both the existing traffic environment and bus dispatching, a mathematical model is proposed in this paper such that the goal function of this model are the average maximal satisfaction for passengers, the average loading rate of the maximum and the minimal average bus departure frequency of the bus company, respectively. Furthermore, the genetic algorithm is improved further to prevent premature for the algorithm and ensure fast convergence of the algorithm. Finally, case analysis gives a satisfying departure interval for each time period in a day and verifies the effectiveness of the algorithm.
Keywords :
genetic algorithms; road traffic; road vehicles; bus dispatching; bus trip; genetic algorithm; maximum average loading rate; minimal average bus departure frequency; multiobjective optimization; passenger average maximal satisfaction; traffic environment; Algorithm design and analysis; Companies; Dispatching; Educational institutions; Genetic algorithms; Mathematical model; Optimization; bus dispatching; bus trip; convergence; departure interval; genetic algorithm; premature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
Type :
conf
DOI :
10.1109/CIS.2011.31
Filename :
6128084
Link To Document :
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