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:   9780443337574
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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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:   9780443337574
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.

Table of Contents

Table of Contents Part I Traffic Flow Characteristics 1 Traffic Sensing Technologies 2 Traffic Flow Characteristics I 3 Traffic Flow characteristics II 4 Equilibrium Traffic Flow Models Part II Macroscopic Modeling 5 Conservation Law 6 Waves 7 Shock and Rarefaction Waves 8 LWR Model 9 Numerical Solutions 10 Simplified Theory of K-Waves 11 High-Order Models Part III Microscopic Modeling 12 Microscopic Modeling 13 Pipes and Forbes Models 14 General Motors Models 15 Gipps Model 16 More Single-Regime Models 17 More Intelligent Models Part IV Picoscopic Modeling 18 Picoscopic Modeling 19 Engine Modeling 20 Vehicle Modeling 21 The Field Theory 22 Longitudinal Control Model Part V The Unified Perspective 23 The Unified Diagram 24 Multiscale Traffic Flow Modeling

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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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