Traffic Flow Theory Characteristics, Experimental Methods, and Numerical Techniques

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.

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

Transportation Engineers, Traffic Engineers, Traffic System Designers, and Highway Engineers undergraduate and graduate student

• 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