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Feedback Ramp Metering in Intelligent Transportation Systems

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 contro...

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Bibliographic Details
Main Authors: Kachroo, Pushkin, Ozbay, Kaan (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 2003, 2003
Edition:1st ed. 2003
Subjects:
Electrical And Electronic Engineering
Electrical Engineering
Civil Engineering
Mechanical Engineering
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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 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
  • 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
  • 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

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