Daiheng Ni

Traffic Flow Theory (eBook, ePUB)

Characteristics, Experimental Methods, and Numerical Techniques

• Format: ePub

Produktbeschreibung

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.

• Includes worked out examples and cases to illustrate concepts, models, and theories
• Provides modeling and analytical procedures for supporting different aspects of traffic analyses for supporting different flow models
• Carefully explains the dynamics of traffic flow over time and space

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 412
• Erscheinungstermin: 9. November 2015
• Englisch
• ISBN-13: 9780128041475
• Artikelnr.: 44153068

Autorenporträt

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).