Feedback Ramp Metering in Intelligent Transportation Systems
Published on 21. October 2012
Book
Paperback/Softback
XIX, 333 pages
978-1-4613-4737-8 (ISBN)
Description
Feedback Ramp Metering in Intelligent Transportation Systems
is the first book on the topic of using feedback control (also called real-time traffic control or adaptive control by some traffic engineers) in ramp metering. It provides traffic theory fundamentals and then the design of feedback controllers for isolated and coordinated ramp metering problems. Software simulation code in Matlab and Paramics is provided in the book so that the reader can get a hands-on feel for the various algorithms. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
More details
Edition
Softcover reprint of the original 1st ed. 2003
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIX, 333 p.
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 20 mm
Weight
516 gr
ISBN-13
978-1-4613-4737-8 (9781461347378)
DOI
10.1007/978-1-4419-8961-1
Schweitzer Classification
Other editions
Additional editions
Pushkin Kachroo | Kaan Ozbay
Feedback Ramp Metering in Intelligent Transportation Systems
Book
12/2003
1st Edition
Kluwer Academic / Plenum Publishers
€96.00
Article exhausted; check different version
Content
1 Introduction.- 1. Introduction.- 2. Intelligent Approach to Congestion Problem: Ramp Metering.- 3. Ramp Metering Implementations in the USA.- 4. Benefits of Ramp Metering.- 5. Problem Description.- 6. Preliminary Considerations for Using Feedback Control for Ramp Metering.- 7. Effect of Ramp Metering.- 8. Feedback Control.- 9. Summary.- 10. Questions.- 11. Problems.- 12. References.- 2 Distributed Ramp Model.- 1. Conservation Equation.- 2. Density Flow Relationship.- 3. Microscopic Traffic Characteristics.- 4. Classification of PDEs.- 5. Existence of Solution.- 6. Method of Characteristics to Solve First order PDEs.- 7. Traffic Shock Wave Propagation.- 8. Traffic Measurements.- 9. Summary.- 10. Exercises.- 11. References.- 3 Distributed Modeling and Problem Formulation.- 1. System.- 2. Control Objective.- 3. Limitations of the Model.- 4. Summary.- 5. Questions.- 6. Problems.- 7. References.- 4 Simulation Software for Distributed Model.- 1. Basic Model.- 2. Numerical Algorithm.- 3. Matlab Software.- 4. Simulations.- 5. Limitations.- 6. Summary.- 7. Questions.- 8. Problems.- 9. References.- 5 Feedback Control Design Using the Distributed Model.- 1. Model Summary.- 2. Control Objective.- 3. Feedback Control Law for the Basic Model.- 4. Summary.- 5. Questions.- 6. Problems.- 7. References.- 6 Feedback Control Design Using the Distributed Model with Diffusion.- 1. Model Summary of the Diffusion Model.- 2.Control Objective.- 3. Feedback Control Law for the Diffusion Model.- 4. Summary.- 5. Questions.- 6. Problems.- 7. References.- 7 Feedback Control Design for the Distributed Model for Mixed Sensitivity.- 1. Summary of the Basic Model.- 2. Control Objective.- 3. Feedback Control Design.- 4. Software.- 5. Simulation Results.- 6. Summary.- 7. Questions.- 8. Problems.- 9. References.- 8 Feedback Control Design for Coordinated Ramps Using Distributed Modeling.- 1. Coordinated Ramp Metering.- 2. Motivation Example for Isolated Ramp Problem.- 3. Coordinated Ramp Control.- 4. Coordinated Mixed Sensitivity Feedback Ramp Control.- 5. Summary.- 6. Questions.- 7. Problems.- 8. References.- 9 Feedback Control Design Using the ODE Model.- 1. Mathematical Model.- 2. Control Objective.- 3. Control Design.- 4. Software and Simulation Results.- 5. Coordinated Ramp Control in ODE Setting.- 6. Summary.- 7. Questions.- 8. Problems.- 9. References.- 10 Feedback Control Design Using the Finite Difference Model.- 1. Finite Difference Model.- 2. Control Objective.- 3. Control Design.- 4. Coordinated Ramp Control in ODE Setting.- 5. Summary.- 6. Questions.- 7. Problems.- 8. References.- 11 Nonlinear H?Feedback Control Design Using the ODE Model.- 1. Introduction.- 2. System Modeling.- 3. Background (Nonlinear FL Control).- 4. Ramp Control Design.- 5. Software and Simulation Results.- 6. Summary.- 7. Questions.- 8. Problems.- 9. References.- 12 Paramics.- 1. Introduction to PARAMICS.- 2. Advantages of PARAMICS Simulation.- 3. PARAMICS Applications and Validation Studies.- 4. PARAMICS Ramp Metering Applications.- 5. Simulation of the Study Network.- 6. Simulation Results.- 7. Conclusions.- 8. Summary.- 9. Questions.- 10. Problems.- 11. References.