Cart (Loading....) | Create Account
Close category search window
 

Research on Forecasting Model in Short Term Traffic Flow Based on Data Mining Technology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Bin-sheng Liu ; Sch. of Manage., Harbin Inst. of Technol. ; Yi-Jun Li ; Hai-Tao Yang ; Xue-sheng Sui
more authors

Accurate forecasting in short term traffic flow is of vital importance in management of good road traffic. In order to increase the precision, this paper proposes a forecasting model in short term traffic flow based on data mining technology. The model consists of three stages: first, the rough set theory and the genetic algorithm are applied to select relevant forecasting variable to the traffic flow; second, training pattern of wavelet neural network which is similar to the forecast term is carried out by using data mining technology; finally the wavelet neural network is used to carry on forecasting the traffic flow. Through forecasting traffic flow at Xinhua Street in Huhehot, the result shows that this model has a higher precision and surpasses gray GM (1, 1) and the BP artificial neural network model, which provides a new reliable and effective way of forecasting short term traffic flow of nodes in urban road network

Published in:

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on  (Volume:1 )

Date of Conference:

16-18 Oct. 2006

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.