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This edited book focuses on recent developments in Dynamic Network
Modeling, including aspects of route guidance and traffic control
as they relate to transportation systems and other complex
infrastructure networks. Dynamic Network Modeling is generally
understood to be the mathematical modeling of time-varying
vehicular flows on networks in a fashion that is consistent with
established traffic flow theory and travel demand theory. Dynamic
Network Modeling as a field has grown over the last thirty years,
with contributions from various scholars all over the field. The
basic problem which many scholars in this area have focused on is
related to the analysis and prediction of traffic flows satisfying
notions of equilibrium when flows are changing over time. In
addition, recent research has also focused on integrating dynamic
equilibrium with traffic control and other mechanism designs such
as congestion pricing and network design. Recently, advances in
sensor deployment, availability of GPS-enabled vehicular data and
social media data have rapidly contributed to better understanding
and estimating the traffic network states and have contributed to
new research problems which advance previous models in dynamic
modeling. A recent National Science Foundation workshop on "Dynamic
Route Guidance and Traffic Control" was organized in June 2010 at
Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri ,
Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop
brought together experts in this area from universities, industry
and federal/state agencies to present recent findings in this area.
Various topics were presented at the workshop including dynamic
traffic assignment, traffic flow modeling, network control, complex
systems, mobile sensor deployment, intelligent traffic systems and
data collection issues. This book is motivated by the research
presented at this workshop and the discussions that followed.
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.
The series Advances in Industrial Control aims to report and
encourage technology transfer in control engineering. The rapid
development of control technology impacts all areas of the control
discipline. New theory, new controllers, actuators, sensors, new
industrial processes, computer methods, new applications, new
philosophies, .... , new challenges. Much of this development work
resides in industrial reports, feasibility study papers and the
reports of advanced collaborative projects. The series offers an
opportunity for researchers to present an extended exposition of
such new work in all aspects of industrial control for wider and
rapid dissemination. Micro-technology and modern communications
technology are revolutionising many aspects of our daily lives and
so it is not surprising that it is impacting societal
transportation systems whether our highways, airways, seaways or
railways. The Advances in Industrial Control series reported on
these developments for long haul railway systems in a monograph by
Howlett and Pudney (ISBN 3-S40-19990-X, 1995). Now it is the turn
of transportation in a contribution from Pushkin Kachroo and Kaan
Ozbay. The authors viewpoint is that this new set of transportation
problems are control problems and that control engineers should be
highly active in this field. Their volume covers all the aspects of
modelling, problem formulation, and applies various control
methodologies to solve the control problems formulated.
This edited book focuses on recent developments in Dynamic Network
Modeling, including aspects of route guidance and traffic control
as they relate to transportation systems and other complex
infrastructure networks. Dynamic Network Modeling is generally
understood to be the mathematical modeling of time-varying
vehicular flows on networks in a fashion that is consistent with
established traffic flow theory and travel demand theory. Dynamic
Network Modeling as a field has grown over the last thirty years,
with contributions from various scholars all over the field. The
basic problem which many scholars in this area have focused on is
related to the analysis and prediction of traffic flows satisfying
notions of equilibrium when flows are changing over time. In
addition, recent research has also focused on integrating dynamic
equilibrium with traffic control and other mechanism designs such
as congestion pricing and network design. Recently, advances in
sensor deployment, availability of GPS-enabled vehicular data and
social media data have rapidly contributed to better understanding
and estimating the traffic network states and have contributed to
new research problems which advance previous models in dynamic
modeling. A recent National Science Foundation workshop on "Dynamic
Route Guidance and Traffic Control" was organized in June 2010 at
Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri ,
Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop
brought together experts in this area from universities, industry
and federal/state agencies to present recent findings in this area.
Various topics were presented at the workshop including dynamic
traffic assignment, traffic flow modeling, network control, complex
systems, mobile sensor deployment, intelligent traffic systems and
data collection issues. This book is motivated by the research
presented at this workshop and the discussions that followed.
"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.
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