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Author :
Publisher : Springer
ISBN 13 : 9789491216817
Total Pages : 352 pages
Book Rating : 4.2/5 (168 download)
Download or read book Computational Intelligence for Traffic and Mobility written by and published by Springer. This book was released on 2012-12-12 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wuhong Wang
Publisher : Springer Science & Business Media
ISBN 13 : 9491216805
Total Pages : 343 pages
Book Rating : 4.4/5 (912 download)
Download or read book Computational Intelligence for Traffic and Mobility written by Wuhong Wang and published by Springer Science & Business Media. This book was released on 2012-12-12 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the new development of computation intelligence for traffic, transportation and mobility, the main contents include traffic safety, mobility analysis, intelligent transportation system, smart vehicle, transportation behavior, driver modeling and assistance, transportation risk analysis and reliability system analysis, vehicle operation and active safety, urban traffic management and planning.
Author : Deepak Gupta
Publisher : Bentham Science Publishers
ISBN 13 : 1681089440
Total Pages : 145 pages
Book Rating : 4.6/5 (81 download)
Download or read book Computational Intelligence for Sustainable Transportation and Mobility written by Deepak Gupta and published by Bentham Science Publishers. This book was released on 2021-12-16 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India
Author : Deepak Gupta; Suresh
Publisher :
ISBN 13 : 9781681089454
Total Pages : 150 pages
Book Rating : 4.0/5 (894 download)
Download or read book Computational Intelligence for Sustainable Transportation and Mobility written by Deepak Gupta; Suresh and published by . This book was released on 2021-12-16 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India
Author : Guido Dartmann
Publisher : CRC Press
ISBN 13 : 100040563X
Total Pages : 256 pages
Book Rating : 4.0/5 (4 download)
Download or read book Smart Transportation written by Guido Dartmann and published by CRC Press. This book was released on 2021-11-10 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.
Author : Ana L.C. Bazzan
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627052089
Total Pages : 139 pages
Book Rating : 4.6/5 (27 download)
Download or read book Introduction to Intelligent Systems in Traffic and Transportation written by Ana L.C. Bazzan and published by Morgan & Claypool Publishers. This book was released on 2014-05-01 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such as economical issues (cost of opportunity caused by delays), environmental (externalities related to emissions of pollutants), and social (traffic accidents). Solutions to these issues are more and more closely tied to information and communication technology. Indeed, a search in the technical literature (using the keyword ``urban traffic" to filter out articles on data network traffic) retrieved the following number of articles (as of December 3, 2013): 9,443 (ACM Digital Library), 26,054 (Scopus), and 1,730,000 (Google Scholar). Moreover, articles listed in the ACM query relate to conferences as diverse as MobiCom, CHI, PADS, and AAMAS. This means that there is a big and diverse community of computer scientists and computer engineers who tackle research that is connected to the development of intelligent traffic and transportation systems. It is also possible to see that this community is growing, and that research projects are getting more and more interdisciplinary. To foster the cooperation among the involved communities, this book aims at giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. In addition, the second part of the book gives a panorama of some of the most exciting and newest technologies, originating in computer science and computer engineering, that are now being employed in projects related to car-to-car communication, interconnected vehicles, car navigation, platooning, crowd sensing and sensor networks, among others. This material will also be of interest to engineers and researchers from the traffic and transportation community.
Author : Maurizio Bielli
Publisher : VSP
ISBN 13 : 9789067641715
Total Pages : 340 pages
Book Rating : 4.6/5 (417 download)
Download or read book Artificial Intelligence Applications to Traffic Engineering written by Maurizio Bielli and published by VSP. This book was released on 1994-05 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI
Author : Andreas Fink
Publisher : Springer
ISBN 13 : 3540693904
Total Pages : 280 pages
Book Rating : 4.5/5 (46 download)
Download or read book Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management written by Andreas Fink and published by Springer. This book was released on 2008-09-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logistics and supply chain management deal with managing the ?ow of goods or services within a company, from suppliers to customers, and along a supply chain where companies act as suppliers as well as customers. As transportation is at the heart of logistics, the design of tra?c and transportation networks combined with the routing of vehicles and goods on the networks are important and demanding planning tasks. The in?uence of transport, logistics, and s- ply chain management on the modern economy and society has been growing steadily over the last few decades. The worldwide division of labor, the conn- tion of distributed production centers, and the increased mobility of individuals lead to an increased demand for e?cient solutions to logistics and supply chain management problems. On the company level, e?cient and e?ective logistics and supply chain management are of critical importance for a company’s s- cessanditscompetitiveadvantage. Properperformanceofthelogisticsfunctions can contribute both to lower costs and to enhanced customer service. Computational Intelligence (CI) describes a set of methods and tools that often mimic biological or physical principles to solve problems that have been di?cult to solve by classical mathematics. CI embodies neural networks, fuzzy logic, evolutionary computation, local search, and machine learning approaches. Researchersthat workinthis areaoften comefromcomputer science,operations research,or mathematics, as well as from many di?erent engineering disciplines. Popular and successful CI methods for optimization and planning problems are heuristic optimization approaches such as evolutionary algorithms, local search methods, and other types of guided search methods.
Author : Guido Dartmann
Publisher : CRC Press
ISBN 13 : 1000405656
Total Pages : 224 pages
Book Rating : 4.0/5 (4 download)
Download or read book Smart Transportation written by Guido Dartmann and published by CRC Press. This book was released on 2021-11-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.
Author : Hussein Dia
Publisher : Edward Elgar Publishing
ISBN 13 : 1803929545
Total Pages : 649 pages
Book Rating : 4.8/5 (39 download)
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.
Author : Constantinos Antoniou
Publisher : Elsevier
ISBN 13 : 0128129719
Total Pages : 454 pages
Book Rating : 4.1/5 (281 download)
Download or read book Mobility Patterns, Big Data and Transport Analytics written by Constantinos Antoniou and published by Elsevier. This book was released on 2018-11-27 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail, mobility ‘structural’ analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data’s impact on mobility, and an introduction to the tools necessary to apply new techniques. Guides readers through the paradigm-shifting opportunities and challenges of handling Big Data in transportation modeling and analytics Covers current analytical innovations focused on capturing, predicting, visualizing, and controlling mobility patterns, while discussing future trends Delivers an introduction to transportation-related information advances, providing a benchmark reference by world-leading experts in the field Captures and manages mobility patterns, covering multiple purposes and alternative transport modes, in a multi-disciplinary approach Companion website features videos showing the analyses performed, as well as test codes and data-sets, allowing readers to recreate the presented analyses and apply the highlighted techniques to their own data
Author : Zhidan Liu
Publisher : Springer Nature
ISBN 13 : 9811622418
Total Pages : 75 pages
Book Rating : 4.8/5 (116 download)
Download or read book Mobility Data-Driven Urban Traffic Monitoring written by Zhidan Liu and published by Springer Nature. This book was released on 2021-05-18 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-based urban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale. This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.
Author : Julia Düh
Publisher : Springer Science & Business Media
ISBN 13 : 3642155030
Total Pages : 219 pages
Book Rating : 4.6/5 (421 download)
Download or read book Data and Mobility written by Julia Düh and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few years, the local value of mobility and information in our society has grown tremendously. As the importance of Information and Communication Te- nologies (ICT) increases, we expect more changes in future mobility behavior. This includes not only mobility behavior for the single user, but also for the transportation of goods and infrastructure operators. It will also affect the regulation of resources and political decision-making. Both, data and mobility become more connected. To cope effectively with the anticipated changes, we must expand our focus and take current developments in both areas into account. The topic of the Lakeside Conference 2010, Data and Mobility – Transforming Information into Intelligent Traffic and Transportation Services, was chosen to underline the importance of information and mobility in transport and to offer an opportunity to discuss and question current activities in this sector. We will consider intermodal concepts and deployments in particular, where data transfer plays a major role, as this could help to reduce the current lack of infrastructure capacity (especially on roads and at airports and seaports). Using modern technologies, traffic mana- ment could become more sustainable and efficient. The Lakeside Conference is, again, organized by a consortium composed of the Lakeside Technology Park, the Austrian Transport Telematic Cluster, AustriaTech and the American Embassy in Austria.
Author : Franziska Klügl
Publisher : Springer Science & Business Media
ISBN 13 : 3764373636
Total Pages : 211 pages
Book Rating : 4.7/5 (643 download)
Download or read book Applications of Agent Technology in Traffic and Transportation written by Franziska Klügl and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century. There is an increasing need to understand, model, and govern such systems at both, the individual and the society level. Traffic and transportation scenarios are extraordinarily appealing for Distributed Artificial Intelligence, and (multi-)agent technology in particular. This book gives an overview of recent advances in agent-based transportation systems.
Author : Rajesh Kumar Dhanaraj
Publisher : CRC Press
ISBN 13 : 1000906833
Total Pages : 337 pages
Book Rating : 4.0/5 (9 download)
Download or read book Artificial Intelligence for Future Intelligent Transportation written by Rajesh Kumar Dhanaraj and published by CRC Press. This book was released on 2024-01-09 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.
Author : Mahmoud Hashem Eiza
Publisher : World Scientific
ISBN 13 : 1786347873
Total Pages : 212 pages
Book Rating : 4.7/5 (863 download)
Download or read book Toward Sustainable And Economic Smart Mobility: Shaping The Future Of Smart Cities written by Mahmoud Hashem Eiza and published by World Scientific. This book was released on 2020-06-18 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last decade, developments in smart cars, mobile devices, internet of things and vehicular communications are revolutionizing the future of smart cities. With the rapid integration of these smart devices into our surroundings, we are heading to a new era of a highly connected and environmentally friendly ecosystem.This book offers a unique opportunity for the reader to explore state-of-the-art developments in applications, technologies (e.g., Big Data and artificial intelligence), services and research trends in smart mobility for smart cities. It also provides a reference for professionals and researchers in the areas of smart mobility (e.g., autonomous valet parking, passenger trajectory data, smart traffic control systems) and recent technical trends on their enabling technologies. The materials have been carefully selected to reflect the latest developments in the field with many novel contributions from academics and industry experts from around the world.
Author : George J. Dimitrakopoulos
Publisher : Elsevier
ISBN 13 : 0128182822
Total Pages : 274 pages
Book Rating : 4.1/5 (281 download)
Download or read book The Future of Intelligent Transport Systems written by George J. Dimitrakopoulos and published by Elsevier. This book was released on 2020-02-19 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility. Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS
