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

A New Method For Urban Traffic State Estimation Based On Vehicle Tracking Algorithm

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

4 Author(s)
Yikai Chen ; Shanghai Jiao Tong Univ., Shanghai ; Lingling Gao ; Zhi-peng Li ; Liu, Yun-cai

In this paper, a new method for urban traffic state estimation is proposed. Real-time GPS locational data are collected to implement the vehicle tracking algorithm throughout the urban GIS network. Average velocities along these tracks are calculated and distributed proportionally. By integrating the velocity contributions on each road link, traffic states are finally estimated along rolling time periods. Compared with conventional methods, the proposed method keeps the continuity of vehicle travels and runs quickly without additional data sources. Experiments on real taxi scheduling signals indicate that the new method is both reasonable and practical.

Published in:

Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE

Date of Conference:

Sept. 30 2007-Oct. 3 2007

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.