[1] Huang Kun, Chen Senfa, Zhou Zhenguo, Qi Xia, et al. Research on a non-linear chaotic prediction modelfor urban traffic flow [J]. Journal of Southeast University (English Edition), 2003, 19 (4): 410-413. [doi:10.3969/j.issn.1003-7985.2003.04.022]

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Research on a non-linear chaotic prediction modelfor urban traffic flow()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

19

Issue:

2003 4

Page:

410-413

Research Field:

Traffic and Transportation Engineering

Publishing date:

2003-12-30

Info

Title:

Research on a non-linear chaotic prediction modelfor urban traffic flow

Author(s):

Huang Kun;  Chen Senfa;  Zhou Zhenguo;  Qi Xia

College of Economics and Management, Southeast University, Nanjing 210096, China

Keywords:

traffic flow;  chaotic theory;  phase reconstruction;  non-linear;  genetic algorithm;  prediction model

PACS:

U491.14

DOI:

10.3969/j.issn.1003-7985.2003.04.022

Abstract:

In order to solve serious urban transport problems, according to the proved chaotic characteristic of traffic flow, a non-linear chaotic model to analyze the time series of traffic flow is proposed. This model reconstructs the time series of traffic flow in the phase space firstly, and the correlative information in the traffic flow is extracted richly, on the basis of it, a predicted equation for the reconstructed information is established by using chaotic theory, and for the purpose of obtaining the optimal predicted results, recognition and optimization to the model parameters are done by using genetic algorithm. Practical prediction research of urban traffic flow shows that this model has famous predicted precision, and it can provide exact reference for urban traffic programming and control.

References:

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[10] Ma Junhai, Chen Yushu, Liu Zengrong. The non-linear chaotic model reconstruction for the experimental data obtained from different dynamic systems [J]. Applied Mathematics and Mechanics, 1999, 20(11): 1128-1134.(in Chinese)
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[12] Liu Jie, Wang Yuan. An efficient hybrid genetic algorithm [J]. Journal of Hohai University, 2002, 30(2): 49-53.(in Chinese)

Memo

Memo:

Biographies: Huang Kun(1973—), male, graduate; Chen Senfa(corresponding author), male, professor.

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