Distributed maximum likelihood estimation for flow and speed density prediction in distributed traffic detectors with Gaussian mixture model assumption-Reference-Cited by-同舟云学术

Distributed maximum likelihood estimation for flow and speed density prediction in distributed traffic detectors with Gaussian mixture model assumption

Published:2012 Issue:2 Volume:6 Page:215
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intell. Transp. Syst.

Author:

Ramezani A.,Moshiri B.,Abdulhai B.,Kian A.R.

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-its.2010.0189?crawler=true&mimetype=application/pdf

Reference18 articles.

1. Cervero, R.: ‘The transit metropolis’, (Island Press, Washington, DC, Singapore 1998), p. 169, Chapter 6/The Master Planned Transit Metropolis

2. A survey on sensor networks

3. Distributed EM algorithms for density estimation and clustering in sensor networks

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