DocumentCode :
1895697
Title :
Prediction of Traffic Flow Base on Neural Network
Author :
Li, Xiaoying
Author_Institution :
Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. &Technol., Changsha, China
Volume :
1
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
374
Lastpage :
377
Abstract :
Toll system is improving at the same time of expressway greatly developing . Intelligent toll system attracts more and more attentions and gets very wide application. With the development of computer, communication and network technology, toll system also has intelligent and network management. Toll system collects unremittingly a lot of toll flow date and other traffic information.We can predict traffic flow using the date of toll system base on neural network. We can understand the traffic flow every road and it shares the road network specific weight, Meanwhile, traffic flow characteristics of spatial distribution and time distribution can be summarized, traffic flow change law and influencing factors can be obtained also. So it provides a background for the road network planning in the road designing and developing, traffic controlling, and traffic safety etc.
Keywords :
neural nets; road traffic; traffic control; traffic engineering computing; communication technology; intelligent toll system; network technology; neural network; road designing; road network planning; road network specific weight; traffic controlling; traffic flow change law; traffic flow prediction; traffic safety; Application software; Communication system traffic control; Communications technology; Computer network management; Computer networks; Intelligent networks; Intelligent systems; Neural networks; Road safety; Telecommunication traffic; error ratio; neural network; toll system; triffic flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.98
Filename :
5287632
Link To Document :
بازگشت