Funder
Chengdu Soft Science Research Project
National Key R&D Program of China
National Natural Science Foundation of China
Sichuan Science and Technology Program
Science and Technology Plan of China Railway Corporation
Publisher
Public Library of Science (PLoS)
Reference42 articles.
1. Real-time forecast of entrance and exit passenger flow for newly opened station of urban rail transit at initial stage;E Yao;China Railway Science,2018
2. Railway passenger and freight volume forecasting based on chaos theory;Z Zhu;Journal of The China Railway Society,2011
3. Zhang Y, Guo Y, Wei Y, Cheng S, Xing Z, editors. Chaotic Characteristics Identification on Terminal Departing Passenger Traffic Time Series. Applied Mechanics and Materials; 2013: Trans Tech Publ.
4. Grey forecasting model in application of railway passenger flow prediction research;Z Huang;Technology and Economy in Areas of Communications,2014
5. Improvement and application of gray prediction GM (1,1) model;H Yang;Mathematics in Practice and Theory,2011
Cited by
42 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献