1. A new approach to the prediction of passenger flow in a transit system
- Author
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Zhao, Shu-Zhi, Ni, Tong-He, Wang, Yang, and Gao, Xiang-Tao
- Subjects
- *
PUBLIC transit , *PASSENGER traffic , *NONLINEAR statistical models , *PREDICTION models , *CHAOS theory , *FEASIBILITY studies , *WAVELETS (Mathematics) - Abstract
Abstract: 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. [Copyright &y& Elsevier]
- Published
- 2011
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