The city traffic flow prediction based on BP neural network

Author

Yanqiu, Wang ; Qiang, Liu ; Jian, Zhang ; Lifeng, Mei ; Yu, Wang

Author_Institution

Coll. of Inf. Sci. & Eng., Liaoning Univ. of Technol., Jinzhou

fYear

2008

fDate

2-4 July 2008

Firstpage

2550

Lastpage

2552

Abstract

Short-term traffic flow prediction is the basis of dynamic traffic control and guidance. The prediction model of short-term traffic flow base on dynamic traffic control theory is proposed by analyzing traffic flow data and adopting neural network and MATLAB software. The dynamic sequential prediction algorithm for traffic flow based on the improved BP algorithm is presented. The applicability and limitations of the algorithm are verified by adopting test results. To apply Neural Network to traffic field is an intelligent choice.

Keywords

backpropagation; neural nets; traffic control; traffic engineering computing; BP neural network; city traffic flow prediction; dynamic sequential prediction algorithm; dynamic traffic control; short-term traffic flow prediction; traffic flow data; Cities and towns; Communication system traffic control; Data analysis; Heuristic algorithms; MATLAB; Mathematical model; Neural networks; Predictive models; Telecommunication traffic; Traffic control; Data Fusion; Neural Network; Predicted Model; Short-Term Traffic Flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597785

Filename

4597785