A new approach to the prediction of passenger flow in a transit system

作者：Zhao Shu Zhi; Ni Tong He^*; Wang Yang; Gao Xiang Tao

来源：Computers & Mathematics with Applications, 2011, 61(8): 1968-1974.

DOI：10.1016/j.camwa.2010.08.023

• Bus passenger flow
• Non-linear prediction
• Chaos recognition
• Wavelets

A non-linear model is proposed for predicting the rate of passenger flow in a transit system, and its chaotic characteristic is observed. Using wavelets analysis, the passenger flow data for a whole day are decomposed in a multi-scale way to obtain decomposition sequences. Subsequently, a neural network approach is used to predict the sequences. Finally the passenger flow value can be predicted when the predicted sequences are reconstructed. Results show that the present approach is a feasible method for passenger flow prediction.

• 出版日期2011-4
• 单位吉林大学