Adaptive Traffic Signal Control Using Approximate Dynamic Programming

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Adaptive Dynamic Programming: Single and Multiple Controllers

Author : Ruizhuo Song
Publisher : Springer
ISBN 13 : 9811317127
Total Pages : 278 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Adaptive Dynamic Programming: Single and Multiple Controllers by : Ruizhuo Song

Download or read book Adaptive Dynamic Programming: Single and Multiple Controllers written by Ruizhuo Song and published by Springer. This book was released on 2018-12-28 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.

Algorithms and Architectures for Parallel Processing

Author : Shadi Ibrahim
Publisher : Springer
ISBN 13 : 3319654829
Total Pages : 836 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Algorithms and Architectures for Parallel Processing by : Shadi Ibrahim

Download or read book Algorithms and Architectures for Parallel Processing written by Shadi Ibrahim and published by Springer. This book was released on 2017-08-09 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017. The 25 full papers presented were carefully reviewed and selected from 117 submissions. They cover topics such as parallel and distributed architectures; software systems and programming models; distributed and network-based computing; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability and security in distributed and parallel systems; service dependability and security in distributed and parallel systems; performance modeling and evaluation.This volume also includes 41 papers of four workshops, namely: the 4th International Workshop on Data, Text, Web, and Social Network Mining (DTWSM 2017), the 5th International Workshop on Parallelism in Bioinformatics (PBio 2017), the First International Workshop on Distributed Autonomous Computing in Smart City (DACSC 2017), and the Second International Workshop on Ultrascale Computing for Early Researchers (UCER 2017).

Proceedings of International Conference on Recent Innovations in Computing

Author : Yashwant Singh
Publisher : Springer Nature
ISBN 13 : 9819728398
Total Pages : 689 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of International Conference on Recent Innovations in Computing by : Yashwant Singh

Download or read book Proceedings of International Conference on Recent Innovations in Computing written by Yashwant Singh and published by Springer Nature. This book was released on with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Advances in Nonlinear Dynamics and Synchronization

Author : Kyandoghere Kyamakya
Publisher : Springer
ISBN 13 : 3319589962
Total Pages : 368 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Recent Advances in Nonlinear Dynamics and Synchronization by : Kyandoghere Kyamakya

Download or read book Recent Advances in Nonlinear Dynamics and Synchronization written by Kyandoghere Kyamakya and published by Springer. This book was released on 2017-07-25 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical systems, presenting both literature reviews and novel concepts. It develops analytical or numerical approaches, which are simple to use, robust, stable, flexible and universally applicable to the analysis of complex nonlinear dynamical systems. As such it addresses key challenges are addressed, e.g. efficient handling of time-varying dynamics, efficient design, faster numerical computations, robustness, stability and convergence of algorithms. The book provides a series of contributions discussing either the design or analysis of complex systems in sciences and engineering, and the concepts developed involve nonlinear dynamics, synchronization, optimization, machine learning, and forecasting. Both theoretical and practical aspects of diverse areas are investigated, specifically neurocomputing, transportation engineering, theoretical electrical engineering, signal processing, communications engineering, and computational intelligence. It is a valuable resource for students and researchers interested in nonlinear dynamics and synchronization with applications in selected areas.

Modern Trends and Techniques in Computer Science

Author : Radek Silhavy
Publisher : Springer
ISBN 13 : 3319067400
Total Pages : 607 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Modern Trends and Techniques in Computer Science by : Radek Silhavy

Download or read book Modern Trends and Techniques in Computer Science written by Radek Silhavy and published by Springer. This book was released on 2014-05-05 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the research papers presented in the 3rd Computer Science On-line Conference 2014 (CSOC 2014). The conference is intended to provide an international forum for discussions on the latest high-quality research results in all areas related to Computer Science. The topics addressed are the theoretical aspects and applications of Artificial Intelligences, Computer Science, Informatics and Software Engineering. The authors provide new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in their field. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented. This book is divided into three sections and covers topics including Artificial Intelligence, Computer Science and Software Engineering. Each section consists of new theoretical contributions and applications which can be used for the further development of knowledge of everybody who is looking for new knowledge or new inspiration for further research.

Advances in Dynamic Network Modeling in Complex Transportation Systems

Author : Satish V. Ukkusuri
Publisher : Springer Science & Business Media
ISBN 13 : 1461462436
Total Pages : 322 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Advances in Dynamic Network Modeling in Complex Transportation Systems by : Satish V. Ukkusuri

Download or read book Advances in Dynamic Network Modeling in Complex Transportation Systems written by Satish V. Ukkusuri and published by Springer Science & Business Media. This book was released on 2013-03-21 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook on Artificial Intelligence and Transport

Author : Hussein Dia
Publisher : Edward Elgar Publishing
ISBN 13 : 1803929545
Total Pages : 649 pages
Book Rating : 4.8/5 (39 download)

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Book Synopsis Handbook on Artificial Intelligence and Transport by : Hussein Dia

Download or read book Handbook on Artificial Intelligence and Transport written by Hussein Dia and published by Edward Elgar Publishing. This book was released on 2023-10-06 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.

Deep Learning and Its Applications for Vehicle Networks

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 1000877256
Total Pages : 608 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Deep Learning and Its Applications for Vehicle Networks by : Fei Hu

Download or read book Deep Learning and Its Applications for Vehicle Networks written by Fei Hu and published by CRC Press. This book was released on 2023-05-12 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.

Self-Learning Optimal Control of Nonlinear Systems

Author : Qinglai Wei
Publisher : Springer
ISBN 13 : 981104080X
Total Pages : 242 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Self-Learning Optimal Control of Nonlinear Systems by : Qinglai Wei

Download or read book Self-Learning Optimal Control of Nonlinear Systems written by Qinglai Wei and published by Springer. This book was released on 2017-06-13 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum. With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.

Challenges and Solutions for Sustainable Smart City Development

Author : R. Maheswar
Publisher : Springer Nature
ISBN 13 : 3030701832
Total Pages : 285 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Challenges and Solutions for Sustainable Smart City Development by : R. Maheswar

Download or read book Challenges and Solutions for Sustainable Smart City Development written by R. Maheswar and published by Springer Nature. This book was released on 2021-05-22 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses advances in smart and sustainable development of smart environments. The authors discuss the challenges faced in developing sustainable smart applications and provide potential solutions. The solutions are aimed at improving reliability and security with the goal of affordability, safety, and durability. Topics include health care applications, sustainable smart transportation systems, intelligent sustainable wearable electronics, and sustainable smart building and alert systems. Authors are from both industry and academia and present research from around the world. Addresses problems and solutions for sustainable development of smart cities; Includes applications such as healthcare, transportation, wearables, security, and more; Relevant for scientist and researchers working on real time smart city development.

Telematics in the Transport Environment

Author : Jerzy Mikulski
Publisher : Springer
ISBN 13 : 3642340504
Total Pages : 446 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Telematics in the Transport Environment by : Jerzy Mikulski

Download or read book Telematics in the Transport Environment written by Jerzy Mikulski and published by Springer. This book was released on 2012-09-25 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Conference on Transport Systems Telematics, TST 2012, held in Katowice-Ustron, Poland, in October 2012. The 48 papers included in this volume were carefully reviewed and selected for inclusion in this book. Transport telematics are the systems using the information and communication technologies in the area of infrastructure and of means of transport and its participants. An intelligent transport covers systems that allow, through the data transmission and analysis, to influence the behaviour of road users and the action of technical elements in means of transport or along the traffic route. Intelligent transport systems - in accordance with the European Directive - are used for the transport management informatisation. The research shows that the use of telematics can significantly increase the efficiency of the transport system, the road safety and the environmental protection. This book provides an overview of solutions being developed in the field of intelligent transportation systems, and includes theoretical and case studies in the countries of conference participants.

Handbook of Learning and Approximate Dynamic Programming

Author : Jennie Si
Publisher : John Wiley & Sons
ISBN 13 : 9780471660545
Total Pages : 670 pages
Book Rating : 4.6/5 (65 download)

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Book Synopsis Handbook of Learning and Approximate Dynamic Programming by : Jennie Si

Download or read book Handbook of Learning and Approximate Dynamic Programming written by Jennie Si and published by John Wiley & Sons. This book was released on 2004-08-02 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented The contributors are leading researchers in the field

Object Detection with Deep Learning Models

Author : S Poonkuntran
Publisher : CRC Press
ISBN 13 : 1000686795
Total Pages : 345 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Object Detection with Deep Learning Models by : S Poonkuntran

Download or read book Object Detection with Deep Learning Models written by S Poonkuntran and published by CRC Press. This book was released on 2022-11-01 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Author : Frank L. Lewis
Publisher : John Wiley & Sons
ISBN 13 : 1118453972
Total Pages : 498 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Reinforcement Learning and Approximate Dynamic Programming for Feedback Control by : Frank L. Lewis

Download or read book Reinforcement Learning and Approximate Dynamic Programming for Feedback Control written by Frank L. Lewis and published by John Wiley & Sons. This book was released on 2013-01-28 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.

Recent Challenges in Intelligent Information and Database Systems

Author : Edward Szczerbicki
Publisher : Springer Nature
ISBN 13 : 9811982341
Total Pages : 793 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Recent Challenges in Intelligent Information and Database Systems by : Edward Szczerbicki

Download or read book Recent Challenges in Intelligent Information and Database Systems written by Edward Szczerbicki and published by Springer Nature. This book was released on 2022-11-23 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held in Ho Chi Minh City, Vietnam, in November 2022. This volume contains 60 peer-reviewed papers selected for poster presentation from 406 submissions. Papers included in this volume cover the following topics: data mining and machine learning methods, advanced data mining techniques and applications, intelligent and contextual systems, natural language processing, network systems and applications, computational imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0.

Intelligent Information Processing XI

Author : Zhongzhi Shi
Publisher : Springer Nature
ISBN 13 : 3031039483
Total Pages : 560 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Intelligent Information Processing XI by : Zhongzhi Shi

Download or read book Intelligent Information Processing XI written by Zhongzhi Shi and published by Springer Nature. This book was released on 2022-05-23 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2022, held in Qingdao, China, in July 2022. The 37 full papers and 6 short papers presented were carefully reviewed and selected from 57 submissions. They are organized in topical sections on Machine Learning, Data Mining, Multiagent Systems, Social Computing, Blockchain Technology, Game Theory and Emotion, Pattern Recognition, Image Processing and Applications.

Approximate Dynamic Programming for Dynamic Vehicle Routing

Author : Marlin Wolf Ulmer
Publisher : Springer
ISBN 13 : 3319555111
Total Pages : 209 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Approximate Dynamic Programming for Dynamic Vehicle Routing by : Marlin Wolf Ulmer

Download or read book Approximate Dynamic Programming for Dynamic Vehicle Routing written by Marlin Wolf Ulmer and published by Springer. This book was released on 2017-04-19 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particular problems as well as for the theoretical researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the book contains two parts. In the first part, the general methodology required for modeling and approaching SDVRPs is presented. It presents adapted and new, general anticipatory methods of ADP tailored to the needs of dynamic vehicle routing. Since stochastic dynamic optimization is often complex and may not always be intuitive on first glance, the author accompanies the ADP-methodology with illustrative examples from the field of SDVRPs. The second part of this book then depicts the application of the theory to a specific SDVRP. The process starts from the real-world application. The author describes a SDVRP with stochastic customer requests often addressed in the literature, and then shows in detail how this problem can be modeled as a Markov decision process and presents several anticipatory solution approaches based on ADP. In an extensive computational study, he shows the advantages of the presented approaches compared to conventional heuristics. To allow deep insights in the functionality of ADP, he presents a comprehensive analysis of the ADP approaches.