Data Driven Adaptive Traffic Signal Control Via Deep Reinforcement Learning

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Recent Advances in Reinforcement Learning

Author : Leslie Pack Kaelbling
Publisher : Springer Science & Business Media
ISBN 13 : 0792397053
Total Pages : 286 pages
Book Rating : 4.7/5 (923 download)

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Book Synopsis Recent Advances in Reinforcement Learning by : Leslie Pack Kaelbling

Download or read book Recent Advances in Reinforcement Learning written by Leslie Pack Kaelbling and published by Springer Science & Business Media. This book was released on 1996-03-31 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).

Intelligent Transport Systems for Everyone's Mobility

Author : Tsunenori Mine
Publisher :
ISBN 13 : 9789811374357
Total Pages : 471 pages
Book Rating : 4.3/5 (743 download)

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Book Synopsis Intelligent Transport Systems for Everyone's Mobility by : Tsunenori Mine

Download or read book Intelligent Transport Systems for Everyone's Mobility written by Tsunenori Mine and published by . This book was released on 2019 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest, most interesting research efforts regarding Intelligent Transport System (ITS) technologies, from theory to practice. The book's main theme is "Mobility for everyone by ITS"; accordingly, it gathers a range of contributions on human-centered factors in the use or development of ITS technologies, infrastructures, and applications. Each of these contributions proposes a novel method for ITS and discusses the method on the basis of case studies conducted in the Asia-Pacific region. The book are roughly divided into four general categories: 1) Safe and Secure Society, 2) ITS-Based Smart Mobility, 3) Next-Generation Mobility, and 4) Infrastructure Technologies for Practical ITS. In these categories, several key topics are touched on with each other such as driver assistance and behavior analysis, traffic accident and congestion management, vehicle flow management at large events, automated or self-driving vehicles, V2X technologies, next-generation public transportation systems, and intelligent transportation systems made possible by big data analysis. In addition, important current and future ITS-related problems are discussed, taking into account many case studies that have been conducted in this regard.

Applications of Intelligent Systems

Author : N. Petkov
Publisher : IOS Press
ISBN 13 : 1614999295
Total Pages : 370 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Applications of Intelligent Systems by : N. Petkov

Download or read book Applications of Intelligent Systems written by N. Petkov and published by IOS Press. This book was released on 2018-12-21 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The deployment of intelligent systems to tackle complex processes is now commonplace in many fields from medicine and agriculture to industry and tourism. This book presents scientific contributions from the 1st International Conference on Applications of Intelligent Systems (APPIS 2018) held at the Museo Elder in Las Palmas de Gran Canaria, Spain, from 10 to 12 January 2018. The aim of APPIS 2018 was to bring together scientists working on the development of intelligent computer systems and methods for machine learning, artificial intelligence, pattern recognition, and related techniques with an emphasis on their application to various problems. The 34 peer-reviewed papers included here cover an extraordinarily wide variety of topics – everything from semi-supervised learning to matching electro-chemical sensor information with human odor perception – but what they all have in common is the design and application of intelligent systems and their role in tackling diverse and complex challenges. The book will be of particular interest to all those involved in the development and application of intelligent systems.

Transformation of Transportation

Author : Marjana Petrović
Publisher : Springer Nature
ISBN 13 : 3030664643
Total Pages : 226 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Transformation of Transportation by : Marjana Petrović

Download or read book Transformation of Transportation written by Marjana Petrović and published by Springer Nature. This book was released on 2021-02-22 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features original scientific manuscripts submitted for publication at the International Conference – The Science and Development of Transport (ZIRP 2020), organized by University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, and held in Šibenik, Croatia, from 29th to 30th September 2020. The conference brought together scientists and practitioners to share innovative solutions available to everyone. Presenting the latest scientific research, case studies and best practices in the fields of transport and logistics, the book covers topics such as sustainable urban mobility and logistics, safety and policy, data science, process automation, and inventory forecasting, improving competitiveness in the transport and logistics services market and increasing customer satisfaction. The book is of interest to experienced researchers and professionals as well as Ph.D. students in the fields of transport and logistics.

Learning-Based Control

Author : Zhong-Ping Jiang
Publisher : Now Publishers
ISBN 13 : 9781680837520
Total Pages : 122 pages
Book Rating : 4.8/5 (375 download)

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Book Synopsis Learning-Based Control by : Zhong-Ping Jiang

Download or read book Learning-Based Control written by Zhong-Ping Jiang and published by Now Publishers. This book was released on 2020-12-07 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent success of Reinforcement Learning and related methods can be attributed to several key factors. First, it is driven by reward signals obtained through the interaction with the environment. Second, it is closely related to the human learning behavior. Third, it has a solid mathematical foundation. Nonetheless, conventional Reinforcement Learning theory exhibits some shortcomings particularly in a continuous environment or in considering the stability and robustness of the controlled process. In this monograph, the authors build on Reinforcement Learning to present a learning-based approach for controlling dynamical systems from real-time data and review some major developments in this relatively young field. In doing so the authors develop a framework for learning-based control theory that shows how to learn directly suboptimal controllers from input-output data. There are three main challenges on the development of learning-based control. First, there is a need to generalize existing recursive methods. Second, as a fundamental difference between learning-based control and Reinforcement Learning, stability and robustness are important issues that must be addressed for the safety-critical engineering systems such as self-driving cars. Third, data efficiency of Reinforcement Learning algorithms need be addressed for safety-critical engineering systems. This monograph provides the reader with an accessible primer on a new direction in control theory still in its infancy, namely Learning-Based Control Theory, that is closely tied to the literature of safe Reinforcement Learning and Adaptive Dynamic Programming.

Simulation of Urban Mobility

Author : Michael Behrisch
Publisher : Springer
ISBN 13 : 3662450798
Total Pages : 182 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Simulation of Urban Mobility by : Michael Behrisch

Download or read book Simulation of Urban Mobility written by Michael Behrisch and published by Springer. This book was released on 2014-11-06 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the First International Conference on Simulation of Urban Mobility, SUMO 2013, held in Berlin, Germany, in May 2013. The 12 revised full papers presented tin this book were carefully selected and reviewed from 22 submissions. The papers are organized in two topical sections: models and technical innovations and applications and surveys.

Interactive Collaborative Information Systems

Author : Robert Babuška
Publisher : Springer
ISBN 13 : 3642116884
Total Pages : 598 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Interactive Collaborative Information Systems by : Robert Babuška

Download or read book Interactive Collaborative Information Systems written by Robert Babuška and published by Springer. This book was released on 2010-03-22 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing complexity of our world demands new perspectives on the role of technology in decision making. Human decision making has its li- tations in terms of information-processing capacity. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and tra?c management, where humans need to engage in close collaborations with arti?cial systems to observe and understand the situation and respond in a sensible way. We believe that close collaborations between humans and arti?cial systems will become essential and that the importance of research into Interactive Collaborative Information Systems (ICIS) is self-evident. Developments in information and communication technology have ra- cally changed our working environments. The vast amount of information available nowadays and the wirelessly networked nature of our modern so- ety open up new opportunities to handle di?cult decision-making situations such as computer-supported situation assessment and distributed decision making. To make good use of these new possibilities, we need to update our traditional views on the role and capabilities of information systems. The aim of the Interactive Collaborative Information Systems project is to develop techniques that support humans in complex information en- ronments and that facilitate distributed decision-making capabilities. ICIS emphasizes the importance of building actor-agent communities: close c- laborations between human and arti?cial actors that highlight their comp- mentary capabilities, and in which task distribution is ?exible and adaptive.

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.

Neural Computing for Advanced Applications

Author : Haijun Zhang
Publisher : Springer Nature
ISBN 13 : 9811651884
Total Pages : 774 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Neural Computing for Advanced Applications by : Haijun Zhang

Download or read book Neural Computing for Advanced Applications written by Haijun Zhang and published by Springer Nature. This book was released on 2021-08-20 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents refereed proceedings of the Second International Conference Neural Computing for Advanced Applications, NCAA 2021, held in Guangzhou, China, in August, 2021. The 54 full papers papers were thorougly reviewed and selected from a total of 144 qualified submissions. The papers are organized in topical sections on neural network theory, cognitive sciences, neuro-system hardware implementations, and NN-based engineering applications; machine learning, data mining, data security and privacy protection, and data-driven applications; neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling; computational intelligence, nature-inspired optimizers, and their engineering applications; fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences; control systems, network synchronization, system integration, and industrial artificial intelligence; computer vision, image processing, and their industrial applications; cloud/edge/fog computing, the Internet of Things/Vehicles(IoT/IoV), and their system optimization; spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).

Nonlinear and Adaptive Control Systems

Author : Zhengtao Ding
Publisher : Institution of Engineering and Technology
ISBN 13 : 1849195749
Total Pages : 288 pages
Book Rating : 4.8/5 (491 download)

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Book Synopsis Nonlinear and Adaptive Control Systems by : Zhengtao Ding

Download or read book Nonlinear and Adaptive Control Systems written by Zhengtao Ding and published by Institution of Engineering and Technology. This book was released on 2013-04-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar techniques to analyse nonlinear systems. Therefore it is natural to treat adaptive control as a part of nonlinear control systems. Nonlinear and Adaptive Control Systems treats nonlinear control and adaptive controlin a unified framework, presenting the major results at a moderate mathematical level, suitable for MSc students and engineers with undergraduate degrees. Topics covered include introduction to nonlinear systems; state space models; describing functions forcommon nonlinear components; stability theory; feedback linearization; adaptive control; nonlinear observer design; backstepping design; disturbance rejection and output regulation; and control applications, including harmonic estimation and rejection inpower distribution systems, observer and control design for circadian rhythms, and discrete-time implementation of continuous-timenonlinear control laws.

Proceedings of the International Symposium on Intelligent Computing and Networking 2024

Author : Michel Kadoch
Publisher : Springer Nature
ISBN 13 : 3031674472
Total Pages : 436 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Proceedings of the International Symposium on Intelligent Computing and Networking 2024 by : Michel Kadoch

Download or read book Proceedings of the International Symposium on Intelligent Computing and Networking 2024 written by Michel Kadoch and published by Springer Nature. This book was released on with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning and Its Applications for Vehicle Networks

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 100087723X
Total Pages : 357 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 357 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.

AI and IoT for Smart City Applications

Author : Vincenzo Piuri
Publisher : Springer Nature
ISBN 13 : 9811674981
Total Pages : 241 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis AI and IoT for Smart City Applications by : Vincenzo Piuri

Download or read book AI and IoT for Smart City Applications written by Vincenzo Piuri and published by Springer Nature. This book was released on 2022-01-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.

Deep Reinforcement Learning for Wireless Communications and Networking

Author : Dinh Thai Hoang
Publisher : John Wiley & Sons
ISBN 13 : 1119873738
Total Pages : 293 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Deep Reinforcement Learning for Wireless Communications and Networking by : Dinh Thai Hoang

Download or read book Deep Reinforcement Learning for Wireless Communications and Networking written by Dinh Thai Hoang and published by John Wiley & Sons. This book was released on 2023-06-30 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design. Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as: Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association Network layer applications, covering traffic routing, network classification, and network slicing With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.

Smart Transportation Systems 2019

Author : Xiaobo Qu
Publisher : Springer
ISBN 13 : 9811386838
Total Pages : 272 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Smart Transportation Systems 2019 by : Xiaobo Qu

Download or read book Smart Transportation Systems 2019 written by Xiaobo Qu and published by Springer. This book was released on 2019-06-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2019). Modern transportation systems have undergone a rapid transformation in recent years. This has produced a range of vehicle technology innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations and breakthroughs in Smart Transportation Systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

Reinforcement Learning, second edition

Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781538670255
Total Pages : pages
Book Rating : 4.6/5 (72 download)

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Book Synopsis 2019 IEEE Intelligent Transportation Systems Conference (ITSC) by : IEEE Staff

Download or read book 2019 IEEE Intelligent Transportation Systems Conference (ITSC) written by IEEE Staff and published by . This book was released on 2019-10-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2019 annual flagship conference of the IEEE Intelligent Transportation Systems Society will be held in Auckland, New Zealand This conference welcomes papers and presentations in the field of Intelligent Transportation Systems, dealing with new developments in theory, analysis, simulation and modelling, experimentation, demonstration, case studies, field operational tests and deployments ITSC 2019 particularly invites and encourages prospective authors to share their work, findings, perspectives and developments as related to implementation and deployment of advanced ITS applications