Traffic Flow Theory

Erscheinungsjahr 2015
ISBN: 978-0-12-804134-5
Verlag: Elsevier Science & Technology

Buch, Englisch, 412 Seiten, Format (B × H): 229 mm x 152 mm, Gewicht: 664 g

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.

Zielgruppe

<p>Transportation Engineers, Traffic Engineers, Traffic System Designers, and Highway Engineers undergraduate and graduate student</p>

Autoren/Hrsg.

Ni, Daiheng

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure

Inhaltsverzeichnis

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

Über Autor(innen)

Ni, Daiheng
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).