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.
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.
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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).
Inhaltsangabe
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
PART I: Traffic flow characteristics 1. Traffic sensing technologies 2. Traffic flow characteristics: HCM definition 3. Traffic flow characteristics; generalized definition 4. Fundamental diagram PART II: Macroscopic modeling 5. Macroscopic modeling 6. Waves 7. Shock wave and rarefaction wave 8. Lighthill-Whitham-Richards model 9. Numerical solutions 10. Simplified theory of kinematic waves 11. Higher-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. The Field Theory 20. Longitudinal control model PART V: The unified perspective 21. The unifying diagram 22. Multiscale traffic flow modeling 23. Limitations of existing models 24. Look-ahead in traffic flow modeling Part VI: Fundamental diagram 25. Human factors in traffic flow 26. Stochastic modeling of the fundamental diagram 27. Microscopic fundamental diagram 28. Phase diagram of traffic flow
PART I: Traffic flow characteristics 1. Traffic sensing technologies 2. Traffic flow characteristics: HCM definition 3. Traffic flow characteristics; generalized definition 4. Fundamental diagram PART II: Macroscopic modeling 5. Macroscopic modeling 6. Waves 7. Shock wave and rarefaction wave 8. Lighthill-Whitham-Richards model 9. Numerical solutions 10. Simplified theory of kinematic waves 11. Higher-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. The Field Theory 20. Longitudinal control model PART V: The unified perspective 21. The unifying diagram 22. Multiscale traffic flow modeling 23. Limitations of existing models 24. Look-ahead in traffic flow modeling Part VI: Fundamental diagram 25. Human factors in traffic flow 26. Stochastic modeling of the fundamental diagram 27. Microscopic fundamental diagram 28. Phase diagram of traffic flow
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