HIGH-SPEED RAILWAY BASED ON GENETIC ALGORITHM FOR PREDICTION OF TRAVEL CHOICE
Genetic algorithm is a new optimizing searching method based on biology evolutionary theory. Just as evolution deals in populations of individuals, genetic algorithms mimic nature by evolving huge churning populations of code, all processing and mutating at once. With the frequency of passenger travel speeding up and passengers demand to the quality of life higher and higher, passengers have higher and higher demands to the travel. Especially in environment, comfort and quick aspect, different passenger focuses on different aspects, therefore, before the research, we must classify the passenger. This paper applies British Sheffield university GA toolbox, with the application of matlab, finally makes a forecast analysis. Because the forecast analysis is based on the questionnaire during the Spring Festival, so the emphasize on the travel choice made by the passengers in this certain circumstances is necessary. In addition, the forecast analysis will be more or less different with other forecast analysis normally.
Genetic algorithm High-speed railway Forecast analysis Modal split
Long Chen-xu Li Jing Gao Yue
School of Economics and Management, Information Management and Information System, Beijing Jiaotong University Yuen Estate, No. 3, 100044, Haidian District, Beijing, China
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2495-2500
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）