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

The research of method of short-term traffic flow forecast based on GA-BP neural network and chaos theory

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

3 Author(s)
Zhu Chunmei ; School of Mechanical and Electrical engineering, Beijing Information Science & Technology University, China ; Xu Xiaoli ; Yan changpeng

In order to improve the efficiency and precision of short-term traffic flow forecast, for the traditional BP neural network that has such shortcomings as slow convergent speed and easy convergence to the local minimum points, this paper adopts genetic algorithm to optimize BP network structure and sets up a forecast method combining chaos theory with neural network, and the methods of traffic flow forecast based on chaos theory and neural network theory are researched. According to the results of forecasting research of actual traffic flow data by adopting chaos BP neural network forecast method and chaos GA-BP neural network forecast method, it is effective to apply chaos neural network forecast algorithm to short-term traffic flow forecast and improved chaos GA-BP neural network forecast algorithm can improve the precision and timeliness of short-term traffic flow forecast.

Published in:

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Date of Conference:

4-6 Dec. 2010

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.