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140122 ||| eng |
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|a 9781447108153
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| 100 |
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|a Kachroo, Pushkin
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| 245 |
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|a Feedback Control Theory for Dynamic Traffic Assignment
|h Elektronische Ressource
|c by Pushkin Kachroo, Kaan Ozbay
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| 250 |
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|a 1st ed. 1999
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| 260 |
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|a London
|b Springer London
|c 1999, 1999
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| 300 |
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|a XIX, 207 p
|b online resource
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| 505 |
0 |
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|a 7. Sample Problem For Space and Time Discretized Dynamics: Three Alternate Routes Case Description -- 8. Summary -- 9. Exercises -- 10. References -- 4 Dynamic Traffic Routing Problem in Distributed Parameter Setting -- Objectives -- 1. Introduction -- 2. System Dynamics -- 3. Sliding Mode Control -- 4. Chattering Reduction -- 5. Numerical Examples -- 6. Generalization of Chattering Reduction Results -- 7. Control Design for DTR Problem -- 8. Numerical Solution of Traffic PDE -- 9. Error Analysis -- 10. Simulation Software -- 11. Simulation Results -- 12. Summary -- 13. Exercises -- 14. References -- 5 Dynamic Traffic Routing Problem in Distributed Parameter Setting Using Semigroup Theory -- Objectives -- 1. Introduction -- 2. Mathematical Preliminaries -- 3. System Dynamics -- 4. Existing Work -- 5. Summary -- 6. Exercises -- 7. References -- 6 Fuzzy Feedback Control for Dynamic Traffic Routing -- Objectives -- 1. Introduction -- 2. Overview of Fuzzy Logic -- 3. Sample Problem --
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| 505 |
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|a 4. Summary -- 5. Exercises -- 6. References -- 7 Feedback Control for Dynamic Traffic Routing in Lumped Parameter Setting -- Objectives -- 1. Introduction -- 2. System Dynamics and DTR Problem -- 3. Feedback Linearization Technique -- 4. Sample Problem (Two Alternate Routes with One Section Each) -- 5. Sample Problem (Two Alternate Routes with Two Section Each) -- 6. Solution for The One-Origin, One-Destination Case With Multiple Routes With Multiple Sections -- 7. Simulations -- 8. Sliding Mode Control for Point Diversion -- 9. Summary -- 10. Exercises -- 8 Feedback Control for Network Level Dynamic Traffic Routing -- Objectives -- 1. Introduction -- 2. System Description -- 3. Dynamic Traffic Assignment Problem -- 4. Sample Problem -- 5. Summary -- 6. Exercises -- 7. References
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| 505 |
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|a 1 Introduction -- Objectives -- 1. Dynamic Traffic Routing -- 2. Motivation -- 3. Literature Review -- 4. FeedBack Control -- 5. Summary -- 6. Exercises -- 7. References -- 2 Traffic Flow Theory -- Objectives -- 1. Introduction -- 2. Conservation Law -- 3. Traffic Density-Flow Relationships -- 4 Microscopic Traffic Characteristics [17,18,19] -- 5 Traffic Model -- 6 Classification of PDEs[20,21,22] -- 7 Existence of Solution [21] -- 8 Method of Characteristics to Solve First Order PDEs [20] -- 9. Traffic Shock Wave Propagation -- 10. Traffic Measurements -- 11. Summary -- 12. Exercises -- 13. References -- 3 Modeling and Problem Formulation -- Objectives -- 1. Introduction -- 2. System Dynamics -- 3. Feedback Control for the Traffic as a Distributed Parameter System -- 4. Discretized System Dynamics -- 5. Feedback Control for the Traffic as a Lumped Parameter System -- 6. Sample Problem for Space Discretized Dynamics --
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| 653 |
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|a Industrial Management
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| 653 |
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|a Automotive Engineering
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| 653 |
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|a Control and Systems Theory
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| 653 |
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|a Automotive engineering
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| 653 |
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|a Control engineering
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| 700 |
1 |
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|a Ozbay, Kaan
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
0 |
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|a Advances in Industrial Control
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| 028 |
5 |
0 |
|a 10.1007/978-1-4471-0815-3
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| 856 |
4 |
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|u https://doi.org/10.1007/978-1-4471-0815-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 629.8312
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| 082 |
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|a 003
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| 520 |
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|a Traditionally, traffic assignment and traffic control in general have mostly been performed using optimisation techniques which do not lend themselves to real-time control. This volume presents feedback control techniques for performing traffic assignment in real-time, where traffic diversion control variables are instantaneous functions of sensed traffic variables. The authors outline the whole theory behind Intelligent Transportation Systems (ITS) which allows traffic variables to be sensed in real-time and microprocessors to use the sensed traffic variable input to perform the traffic actuation tasks. They show how to design feedback controllers to perform dynamic traffic routing and assignment, and present the theory of feedback control as applied to this problem, with many new approaches for solving it. Not only is the theory presented but a wide range of information on applications in terms of simulations and deployment. It is a valuable contribution to the subject, and will be of great use to researchers and all those with an interest in traffic control, including professional from highway administration and all those working in this industry. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control
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