Title :
Improved Genetic Algorithm for the Regional Multi-line Bus Dispatching
Author :
Jinling Du ; Linzhi Cao
Author_Institution :
Sch. of Manage. Eng., Shan Dong Jianzhu Univ., Jinan, China
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 of the regional multi-line bus dispatching within 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 :
dispatching; genetic algorithms; road traffic; road vehicles; scheduling; average loading rate; bus departure frequency; bus trip; economic benefit; genetic algorithm; optimal bus dispatching; regional multiline bus dispatching; social benefit; traffic environment; Algorithm design and analysis; Companies; Dispatching; Genetic algorithms; Mathematical model; Optimization; Vehicles; bus dispatching; bus trip; convergence; departure interval; genetic algorithm; premature;
Conference_Titel :
Computational Intelligence and Security (CIS), 2013 9th International Conference on
Conference_Location :
Leshan
Print_ISBN :
978-1-4799-2548-3
DOI :
10.1109/CIS.2013.183