Pushkin Kachroo, Kaan Ozbay

Feedback Control Theory for Dynamic Traffic Assignment (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer London
• Seitenzahl: 207
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781447108153
• Artikelnr.: 44000455

Autorenporträt

Pushkin Kachroo is the Lincy Professor of Transportation in the department of Electrical and Computer Engineering at the University of Nevada Las Vegas (UNLV). He was a Visiting Professor at the University of California at Berkeley working with Professor Shankar Sastry. He is the director of the Mendenhall Innovation Program at the Thomas a Hughes College of Engineering at UNLV. He was an Associate Professor at Virginia Tech before he joined UNLV in 2007. He obtained his Ph.D. in Mechanical Engineering from University of California at Berkeley performing research in Vehicle Control in 1993 under Professor Masayoshi Tomizuka, and obtained another Ph.D. in Mathematics from Virginia Tech in Mathematics in the area of hyperbolic system of partial differential equations with applications to Traffic Control and Evacuation under Professor Joseph A. Ball. He has authored 10 books on traffic and vehicle control. He has authored more than 120 publications that include books, research papers, and edited volumes. He has taught about 30 different courses in Virginia Tech in the areas of electrical and computer engineering, and mathematics. Similarly, he also taught 30 different courses at UNLV since 2007. He has graduated more than 35 graduate students, and has been P.I. or Co P.I. on projects worth more than 4 Million Dollars. He was awarded the most outstanding new professor at Virginia Tech, and also has received many teaching awards and certificates, both at Virginia Tech and UNLV. He also received the faculty excellence award from CSUN UNLV in 2011. He is pursuing an M.S. in Physics at UNLV with thesis work in Quantum Logic. Kaan M.A. Özbay has joined Department of Civil and Urban engineering and Center for Urban Science and Progress (CUSP) at NYU on August 2013. Professor Ozbay was a tenured full Professor at the Rutgers University Department of Civil and Environmental Engineering until July 2013. He joined Rutgers University as an Assistant Professor in July, 1996. In 2008, he was a visiting scholar at the Operations Research and Financial Engineering (ORFE) Department of Princeton University. Dr. Ozbay's research interests in transportation cover a wide range of topics including the development of simulation models of large scale complex transportation systems, advanced technology and sensing applications for Intelligent Transportation Systems, modeling and evaluation of traffic incident and emergency management systems, feedback based on-line real-time traffic control techniques, traffic safety, application of operations research techniques in network optimization and humanitarian inventory control, and transportation economics. Dr. Ozbay is the recipient of the prestigious National Science Foundation (NSF) CAREER award. Dr. Ozbay is the co-editor of a new book titled "Dynamic Traffic Control & Guidance" published by Springer Verlag's "Complex Social, Economic and Engineered Networks" series in 2013. In addition to this book, Dr. Ozbay is the co-author of three other books titled "Feedback Based Ramp Metering for Intelligent Transportation Systems" published by Kluwer Academics in 2004, "Feedback Control Theory for Dynamic Traffic Assignment", Springer-Verlag and "Incident Management for Intelligent Transportation Systems" published by Artech House publishers both in 1999. Dr. Ozbay published approximately 300 refereed papers in scholarly journals and conference proceedings. Professor Ozbay serves as the "Associate Editor" of Networks and Spatial Economic journal and Transportmetrica B: Transportation Dynamics journal. He is a member of the editorial board of the ITS journal. Since 1994, Dr. Ozbay, has been the Principal Investigator and Co-Principal Investigator of 80 projects funded at a level of more than $11,00,000 by National Science Foundation, NJDOT, NYMTC, NY State DOT, New Jersey Highway Authority, USDOT, FHWA, VDOT,CUNY University Transportation Research Center (UTRC), Department of Homeland Security, USDOT ITS Research Center of Excellence. He was the founding director of the Rutgers Intelligent Transportation Systems (RITS) laboratory that led ITS research and education activities at Rutgers University until 2013.

Inhaltsangabe

Introduction.- Traffic Assignment: A Survey of Mathematical Models and Techniques.- Traffic Flow Theory.- Modeling and Problem Formulation.- Dynamic Routing Problem in Distributed Parameter Setting.- Dynamic Routing Problem in Distributed Parameter Setting using Semigroup Theory.- Fuzzy Feedback Control for Dynamic Routing Problem.- Feedback Control for Dynamic Traffic Routing in Lumped Parameter Setting.- Feedback Control for Network Level Dynamic Traffic Routing.- Feedback Routing via Congestion Pricing.