[Advances in Industrial Control] Feedback Control Theory for Dynamic Traffic Assignment || 🔍
Pushkin Kachroo PhD, Kaan Özbay PhD (auth.) Springer Nature, 10.1007/97, 1999
英语 [en] · PDF · 19.5MB · 1999 · 📘 非小说类图书 · 🚀/lgli/scihub/zlib · Save
描述
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.
备用文件名
zlib/no-category/Kachroo, Pushkin; Özbay, Kaan/[Advances in Industrial Control] Feedback Control Theory for Dynamic Traffic Assignment ||_72322769.pdf
备选作者
by Pushkin Kachroo, Kaan Özbay
备选作者
Kachroo, Pushkin; Özbay, Kaan
备选作者
Pushkin Kachroo; Kaan Ozbay
备用出版商
Springer London Ltd
备用版本
Advances in Industrial Control, Advances in industrial control, London, United Kingdom, 1999
备用版本
United Kingdom and Ireland, United Kingdom
备用版本
Springer Nature, London, 2012
备用版本
2, 20121206
元数据中的注释
sm40030286
元数据中的注释
Online full text is restricted to subscribers.
Also available in print.
Mode of access: World Wide Web.
备用描述
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.
备用描述
Modelling and Problem Formulation
Dynamic Traffic Routing Problem in Distributed Parameter Setting
Fuzzy Feedback Control for Dynamic Traffic Routing
Feedback Linearization for Dynamic Traffic Routing
Sliding Mode Control for Dynamic Traffic Routing
Network Level problem: System Optimal
Network Level Problem: User Equilibrium.
开源日期
2015-08-03
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