Data Driven Intelligent Transportation Systems

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Data Driven Intelligent Transportation Systems

Author : Zhang, Junping
Publisher : Academic Press
ISBN 13 : 9780123983060
Total Pages : 0 pages
Book Rating : 4.9/5 (83 download)

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Book Synopsis Data Driven Intelligent Transportation Systems by : Zhang, Junping

Download or read book Data Driven Intelligent Transportation Systems written by Zhang, Junping and published by Academic Press. This book was released on 2014-02-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Series in Intelligent Systems publishes titles that cover state of the art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. The Series publishes titles in three core sub-topic areas: Intelligent Automation, Intelligent Transportation Systems, and Intelligent Computing. Titles focus on professional and academic reference works and handbooks. The readership for the series is broad, reflecting the wide range of intelligent systems interest and application, but focuses on engineering (in particular automation, control, mechatronics, robotics, transportation, automotive, aerospace), electronics and electronic design, and computer science. Intelligent Transportation Systems (ITS) are rapidly developing in the world and widely used to optimize the transportation management and plan, enhance city and country security, and improve the traffic users’ travel route, safety and health directly or indirectly. To achieve these goals, a large amount of data are collected from a variety of sources related to ITS. Such abundant and various data lead to a revolution of changing ITS to a more powerful and multifunctional Data-driven ITS. As an associate editor in IEEE transactions on Intelligent Transportation Systems and an associate editor in IEEE Intelligent Systems, Junping Zhang surveys the development of Data-driven ITS in detail, discuss some potential issues closely related to ITS and give a roadmap on the future directions, as well as some recent works on the data-driven ITS. An important contribution in this book is that ITS is closely related to up-to-date data-driven techniques such as data mining, machine learning and computer vision, which are less involved in by other previous ITS-related books. For examples, privacy-preserving and people-centric ITS. The first book for the ITS community that focuses on how to utilize data collected from ITS. Data-driven Intelligent Transportation Systems is a rapidly developing topic. This book is the first dedicated to this important topic. • Introduces the latest approaches and techniques I ITYS, including dimension reduction technique such as nonlinear embedding that can address dimensionality, which often impair the effectiveness of ITS. • Includes a range of real word case studies that show how work in ITS, and related areas including machine learning, vision, and data mining can be applied to transportation systems

Data Analytics for Intelligent Transportation Systems

Author : Mashrur Chowdhury
Publisher : Elsevier
ISBN 13 : 0128098511
Total Pages : 344 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Data Analytics for Intelligent Transportation Systems by : Mashrur Chowdhury

Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2017-04-05 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Data-Driven Solutions to Transportation Problems

Author : Yinhai Wang
Publisher : Elsevier
ISBN 13 : 0128170271
Total Pages : 299 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data-Driven Solutions to Transportation Problems by : Yinhai Wang

Download or read book Data-Driven Solutions to Transportation Problems written by Yinhai Wang and published by Elsevier. This book was released on 2018-12-04 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical and technically-oriented researchers

Data-Driven Intelligence in Wireless Networks

Author : Muhammad Khalil Afzal
Publisher : CRC Press
ISBN 13 : 1000841332
Total Pages : 267 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Data-Driven Intelligence in Wireless Networks by : Muhammad Khalil Afzal

Download or read book Data-Driven Intelligence in Wireless Networks written by Muhammad Khalil Afzal and published by CRC Press. This book was released on 2023-03-27 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers details on wireless communication problems, conducive for data-driven solutions Provides a comprehensive account of programming languages, tools, techniques, and good practices Provides an introduction to data-driven techniques applied to wireless communication systems Examines data-driven techniques, performance, and design issues in wireless networks Includes several case studies that examine data-driven solution for QoS in heterogeneous wireless networks

Mobility Data-Driven Urban Traffic Monitoring

Author : Zhidan Liu
Publisher : Springer Nature
ISBN 13 : 9811622418
Total Pages : 75 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Mobility Data-Driven Urban Traffic Monitoring by : Zhidan Liu

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.

Data-Driven Traffic Engineering

Author : Hubert Rehborn
Publisher : Elsevier
ISBN 13 : 0128191392
Total Pages : 192 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data-Driven Traffic Engineering by : Hubert Rehborn

Download or read book Data-Driven Traffic Engineering written by Hubert Rehborn and published by Elsevier. This book was released on 2020-10-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation to shed light on key traffic phenomena. Readers will learn how to develop an understanding of the empirical features of vehicular traffic networks and how to consider these features in emerging, intelligent transport systems. Topics cover congestion patterns, fuel consumption, the influence of weather, and much more. This book offers a unique, data-driven analysis of vehicular traffic in traffic networks, also considering how to apply data-driven insights to the intelligent transport systems of the future. Provides an empirically-driven analysis of traffic measurements/congestion based on real-world data collected from a global fleet of vehicles Applies Kerner’s three-phase traffic theory to empirical data Offers a critical scientific understanding of the underlying concerns of traffic control in automated driving and intelligent transport systems

Handbook of Mobility Data Mining, Volume 3

Author : Haoran Zhang
Publisher : Elsevier
ISBN 13 : 0443184232
Total Pages : 244 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Handbook of Mobility Data Mining, Volume 3 by : Haoran Zhang

Download or read book Handbook of Mobility Data Mining, Volume 3 written by Haoran Zhang and published by Elsevier. This book was released on 2023-01-29 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management—detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19—and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality. Introduces MDM applications from six major areas: intelligent transportation management, shared transportation systems, disaster management, pandemic response, low-carbon transportation, and social equality Uses case studies to examine possible solutions that facilitate ethical, secure, and controlled emergency management based on mobile big data Helps develop policy innovations beneficial to citizens, businesses, and society Stems from the editor’s strong network of global transport authorities and transport companies, providing a solid knowledge structure and data foundation as well as geographical and stakeholder coverage

Big Data Transportation Systems

Author : Guanghui Zhao
Publisher : World Scientific
ISBN 13 : 9811236011
Total Pages : 352 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Big Data Transportation Systems by : Guanghui Zhao

Download or read book Big Data Transportation Systems written by Guanghui Zhao and published by World Scientific. This book was released on 2021-07-02 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.

Transportation Systems Management and Operations (TSMO)

Author : Kwabena Abedi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (143 download)

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Book Synopsis Transportation Systems Management and Operations (TSMO) by : Kwabena Abedi

Download or read book Transportation Systems Management and Operations (TSMO) written by Kwabena Abedi and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Driven Innovation for Intelligent Technology

Author : Hiram Ponce
Publisher : Springer Nature
ISBN 13 : 3031542770
Total Pages : 255 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Data-Driven Innovation for Intelligent Technology by : Hiram Ponce

Download or read book Data-Driven Innovation for Intelligent Technology written by Hiram Ponce and published by Springer Nature. This book was released on with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains

Author : Hongtian Chen
Publisher : Springer Nature
ISBN 13 : 3030462633
Total Pages : 164 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains by : Hongtian Chen

Download or read book Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains written by Hongtian Chen and published by Springer Nature. This book was released on 2020-04-25 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.

Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems

Author : Anshu Singla
Publisher : CRC Press
ISBN 13 : 1040088813
Total Pages : 297 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems by : Anshu Singla

Download or read book Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems written by Anshu Singla and published by CRC Press. This book was released on 2024-07-31 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.

Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing

Download Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing PDF Online Free

Author : Ilkyeong Moon
Publisher : Springer
ISBN 13 : 3319997041
Total Pages : 570 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing by : Ilkyeong Moon

Download or read book Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing written by Ilkyeong Moon and published by Springer. This book was released on 2018-08-24 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set IFIP AICT 535 and 536 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2018, held in Seoul, South Korea, in August 2018. The 129 revised full papers presented were carefully reviewed and selected from 149 submissions. They are organized in the following topical sections: lean and green manufacturing; operations management in engineer-to-order manufacturing; product-service systems, customer-driven innovation and value co-creation; collaborative networks; smart production for mass customization; global supply chain management; knowledge based production planning and control; knowledge based engineering; intelligent diagnostics and maintenance solutions for smart manufacturing; service engineering based on smart manufacturing capabilities; smart city interoperability and cross-platform implementation; manufacturing performance management in smart factories; industry 4.0 - digital twin; industry 4.0 - smart factory; and industry 4.0 - collaborative cyber-physical production and human systems.

Smart Transportation Systems 2022

Author : Yiming Bie
Publisher : Springer Nature
ISBN 13 : 9811928134
Total Pages : 211 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Smart Transportation Systems 2022 by : Yiming Bie

Download or read book Smart Transportation Systems 2022 written by Yiming Bie and published by Springer Nature. This book was released on 2022-05-14 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2022). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological 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.

Logic-Driven Traffic Big Data Analytics

Author : Shaopeng Zhong
Publisher : Springer Nature
ISBN 13 : 9811680167
Total Pages : 296 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Logic-Driven Traffic Big Data Analytics by : Shaopeng Zhong

Download or read book Logic-Driven Traffic Big Data Analytics written by Shaopeng Zhong and published by Springer Nature. This book was released on 2022-02-01 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.

Computational Logistics

Author : Francesco Corman
Publisher : Springer
ISBN 13 : 3319242644
Total Pages : 752 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Computational Logistics by : Francesco Corman

Download or read book Computational Logistics written by Francesco Corman and published by Springer. This book was released on 2015-09-18 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Computational Logistics, ICCL 2015, held in Delft, The Netherlands, in September 2015. The 50 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in topical sections entitled: transport over ground, transport over water, international coordination within a system, external coordination among systems.

Intelligent Transportation Related Complex Systems and Sensors

Author : Kyandoghere Kyamakya
Publisher : MDPI
ISBN 13 : 3036508481
Total Pages : 494 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Intelligent Transportation Related Complex Systems and Sensors by : Kyandoghere Kyamakya

Download or read book Intelligent Transportation Related Complex Systems and Sensors written by Kyandoghere Kyamakya and published by MDPI. This book was released on 2021-09-01 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems.