Traffic Flow Theory: Characteristics, Experimental Methods, and Numerical Techniques

Author:   Daiheng Ni (Professor, Dept. of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA, United States)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780128041345


Pages:   412
Publication Date:   27 October 2015
Replaced By:   9780443337581
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Traffic Flow Theory: Characteristics, Experimental Methods, and Numerical Techniques


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Overview

Creating Traffic Models is a challenging task because some of their interactions and system components are difficult to adequately express in a mathematical form. Traffic Flow Theory: Characteristics, Experimental Methods, and Numerical Techniques provide traffic engineers with the necessary methods and techniques for mathematically representing traffic flow. The book begins with a rigorous but easy to understand exposition of traffic flow characteristics including Intelligent Transportation Systems (ITS) and traffic sensing technologies.

Full Product Details

Author:   Daiheng Ni (Professor, Dept. of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA, United States)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Butterworth-Heinemann Inc
Dimensions:   Width: 15.20cm , Height: 2.30cm , Length: 22.90cm
Weight:   0.680kg
ISBN:  

9780128041345


ISBN 10:   012804134
Pages:   412
Publication Date:   27 October 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9780443337581
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Dr. Ni has been a Professor at UMass Amherst since 2006. At the Georgia Institute of Technology, he earned his PhD in Transportation and Operations Research in 2004, his MSc in Industrial Engineering in 2003, his MSc in Transportation in 2001, and his MSc in Mechanical Engineering at the Beijing Agricultural Engineering University in 1994. His research interests focus on traffic flow modeling and simulation, intelligent transportation systems, traffic sensing and information technology, connected and automated vehicles. He is an Associate Editor for the Journal of Intelligent Transportation Systems (Taylor & Francis) and a ‘friend’ member of the TRB Committee on Traffic Flow Theory and Characteristics (ACP50).

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