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

Short-term traffic flow prediction based on grid computing pool model

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

2 Author(s)
Kang Kai ; Acad. of Manage., Hebei Univ. of Technol., Tianjin, China ; Han Jinfeng

Traffic flow prediction is one of the important research areas in intelligent transportation system. The key point of dynamic route guidance system is the accurate and prompt information about transportation prediction. The article analyses the characteristics of short-term traffic flow prediction, proposes an optimal resource service method that based on grid computing pool model, builds a traffic flow prediction model based on this method, and predicts the traffic by using genetic algorithm based on higher-order generalized neural networks. In the traffic flow prediction process, the optimal resource service method on the basis of grid computing pool model is utilized to automatically request the best CPU under the current status in traffic information platform to perform the prediction, in order to enhance the service quality and efficiency.

Published in:

Logistics Systems and Intelligent Management, 2010 International Conference on  (Volume:1 )

Date of Conference:

9-10 Jan. 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.