Real-time urban traffic amount prediction models for dynamic route guidance systems-Reference-Cited by-同舟云学术

Real-time urban traffic amount prediction models for dynamic route guidance systems

Published:2014-05-22 Issue:1 Volume:2014 Page:
ISSN:1687-1499
Container-title:EURASIP Journal on Wireless Communications and Networking
language:en
Short-container-title:J Wireless Com Network

Author:

Liang Zilu,Wakahara Yasushi

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Link

http://link.springer.com/article/10.1186/1687-1499-2014-85/fulltext.html

Reference65 articles.

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2. Schrank D, Eisele B, Lomax T: TTl’s 2012 Urban mobility report. College Station, TX, USA: Texas A&M Transp. Inst.; 2012.

3. Grant-Muller S, Laird J: Costs of Congestion: Literature Based Review of Methodologies and Analytical Approaches. Edinburgh: Scottish Executive; 2007.

4. Rosen DA, Mammano FJ, Favout R: An electronic route-guidance system for highway vehicles. IEEE Trans. Vehicular Technol 1970, 19(1):143-152.

5. Tomtom 2013. http://www.tomtom.com . Accessed May 2014

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