Title :
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
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;
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
DOI :
10.1109/CCDC.2008.4597785
