Feedback Ramp Metering in Intelligent Transportation Systems
Autor Pushkin Kachroo, Kaan Ozbayen Limba Engleză Hardback – 15 ian 2004
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Specificații
ISBN-13: 9780306478017
ISBN-10: 0306478013
Pagini: 356
Dimensiuni: 157 x 235 x 25 mm
Greutate: 0.67 kg
Ediția:New.
Editura: Springer
Locul publicării:Boston, MA, United States
ISBN-10: 0306478013
Pagini: 356
Dimensiuni: 157 x 235 x 25 mm
Greutate: 0.67 kg
Ediția:New.
Editura: Springer
Locul publicării:Boston, MA, United States
Public țintă
ResearchCuprins
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.