Referenced Items are not available for this document.
Traffic flow on urban arterial roads is interrupted by intersections. It is difficult to predict travel time because of the effect of uncertain factors. In this paper the average space speed is adopted as a medium variable. The artificial neural network technology is applied to map the relationship of the traffic flow and average-space speed. Then average space speed was converged to average travel time. This approach was tested using the data from an arterial road in Changchun. The result shows that this method can make the prediction calculation more reliable, more cost-efficient and easier
Published in:
Vehicle Electronics Conference, 2001. IVEC 2001. Proceedings of the IEEE International
Date of Conference: 2001
- Page(s):
- 255 - 260
- Meeting Date :
- 25 Sep 2001-28 Sep 2001
- Print ISBN:
- 0-7803-7229-8
- INSPEC Accession Number:
- 7146276
- Conference Location :
- Tottori
- Digital Object Identifier :
- 10.1109/IVEC.2001.961763
- Product Type:
- Conference Publications
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
