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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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Previews available in: English
Showing 4 featured editions. View all 4 editions?
Edition | Availability |
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1
Feedback Control Theory for Dynamic Traffic Assignment
Jan 11, 2019, Springer
paperback
303009877X 9783030098773
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2
Feedback Control Theory for Dynamic Traffic Assignment
May 17, 2018, Springer
hardcover
3319692291 9783319692296
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3
Feedback Control Theory for Dynamic Traffic Assignment
2012, Island Press
in English
1447108167 9781447108160
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4
Feedback Control Theory for Dynamic Traffic Assignment
1999, Springer London
electronic resource /
in English
1447112091 9781447112099
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