Data Analytics For Intelligent Transportation Systems

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Data Analytics for Intelligent Transportation Systems

Mashrur Chowdhury,Amy Apon,Kakan Dey
Data Analytics for Intelligent Transportation Systems Book PDF

Author : Mashrur Chowdhury,Amy Apon,Kakan Dey
Publisher : Elsevier
Page : 344 pages
File Size : 43,7 Mb
Release : 2017-04-05
Category : Business & Economics
ISBN : 9780128098516

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Data Analytics for Intelligent Transportation Systems by Mashrur Chowdhury,Amy Apon,Kakan Dey Pdf

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

Big Data Analytics and Intelligent Techniques for Smart Cities

Kolla Bhanu Prakash,Janmenjoy Nayak,B tp Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas
Big Data Analytics and Intelligent Techniques for Smart Cities Book PDF

Author : Kolla Bhanu Prakash,Janmenjoy Nayak,B tp Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas
Publisher : CRC Press
Page : 297 pages
File Size : 47,5 Mb
Release : 2021-09-20
Category : Technology & Engineering
ISBN : 9781000413366

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Big Data Analytics and Intelligent Techniques for Smart Cities by Kolla Bhanu Prakash,Janmenjoy Nayak,B tp Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas Pdf

Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering. Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes

Big Data Transportation Systems

Guanghui Zhao,Gusheng Zhu
Big Data Transportation Systems Book PDF

Author : Guanghui Zhao,Gusheng Zhu
Publisher : World Scientific
Page : 352 pages
File Size : 46,9 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9789811236013

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Big Data Transportation Systems by Guanghui Zhao,Gusheng Zhu Pdf

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.

Big Data Analytics for Connected Vehicles and Smart Cities

Bob McQueen
Big Data Analytics for Connected Vehicles and Smart Cities Book PDF

Author : Bob McQueen
Publisher : Artech House
Page : 280 pages
File Size : 45,6 Mb
Release : 2017-08-31
Category : Computers
ISBN : 9781630814748

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Big Data Analytics for Connected Vehicles and Smart Cities by Bob McQueen Pdf

This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and examples that provide a strong framework focusing on practical application of data sciences and analytic tools for actual projects in the field. Both federal and private sector investments have a strong interest in the connected vehicle and this book discusses the impact this has on transportation. This book defines urban analytics and modeling, incentives and governance, mobility networks, energy networks, and other attributes and elements that craft a smart city. Readers learn how smart cities impact the application of advanced technologies in urban areas. This book explains how recently passed transportation legislation for the US has a specific emphasis on the use of data for performance management.

Mobility Patterns, Big Data and Transport Analytics

Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira
Mobility Patterns Big Data and Transport Analytics Book PDF

Author : Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira
Publisher : Elsevier
Page : 452 pages
File Size : 43,5 Mb
Release : 2018-11-27
Category : Social Science
ISBN : 9780128129715

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Mobility Patterns, Big Data and Transport Analytics by Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira Pdf

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

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Rao, Ram Shringar,Singh, Nanhay,Kaiwartya, Omprakash,Das, Sanjoy
Cloud Based Big Data Analytics in Vehicular Ad Hoc Networks Book PDF

Author : Rao, Ram Shringar,Singh, Nanhay,Kaiwartya, Omprakash,Das, Sanjoy
Publisher : IGI Global
Page : 312 pages
File Size : 51,5 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9781799827665

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Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks by Rao, Ram Shringar,Singh, Nanhay,Kaiwartya, Omprakash,Das, Sanjoy Pdf

Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

The Future of Intelligent Transport Systems

George J. Dimitrakopoulos,Lorna Uden,Iraklis Varlamis
The Future of Intelligent Transport Systems Book PDF

Author : George J. Dimitrakopoulos,Lorna Uden,Iraklis Varlamis
Publisher : Elsevier
Page : 272 pages
File Size : 52,5 Mb
Release : 2020-03-27
Category : Transportation
ISBN : 9780128182819

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The Future of Intelligent Transport Systems by George J. Dimitrakopoulos,Lorna Uden,Iraklis Varlamis Pdf

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

Data Analytics for Smart Cities

Amir Alavi,William G. Buttlar
Data Analytics for Smart Cities Book PDF

Author : Amir Alavi,William G. Buttlar
Publisher : CRC Press
Page : 240 pages
File Size : 49,7 Mb
Release : 2018-10-26
Category : Computers
ISBN : 9780429786631

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Data Analytics for Smart Cities by Amir Alavi,William G. Buttlar Pdf

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Intelligent Transportation Related Complex Systems and Sensors

Kyandoghere Kyamakya,Jean Chamberlain Chedjou,Fadi Al-Machot,Ahmad Haj Mosa,Antoine Bagula
Intelligent Transportation Related Complex Systems and Sensors Book PDF

Author : Kyandoghere Kyamakya,Jean Chamberlain Chedjou,Fadi Al-Machot,Ahmad Haj Mosa,Antoine Bagula
Publisher : MDPI
Page : 494 pages
File Size : 51,9 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783036508481

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Intelligent Transportation Related Complex Systems and Sensors by Kyandoghere Kyamakya,Jean Chamberlain Chedjou,Fadi Al-Machot,Ahmad Haj Mosa,Antoine Bagula Pdf

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.

Big Data and Smart Service Systems

Xiwei Liu,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu
Big Data and Smart Service Systems Book PDF

Author : Xiwei Liu,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu
Publisher : Academic Press
Page : 232 pages
File Size : 54,7 Mb
Release : 2016-11-23
Category : Technology & Engineering
ISBN : 9780128120408

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Big Data and Smart Service Systems by Xiwei Liu,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu Pdf

Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service Illustrates the concepts, framework, and application of big data and smart service systems Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy

Logic-Driven Traffic Big Data Analytics

Shaopeng Zhong,Daniel (Jian) Sun
Logic Driven Traffic Big Data Analytics Book PDF

Author : Shaopeng Zhong,Daniel (Jian) Sun
Publisher : Springer Nature
Page : 296 pages
File Size : 51,8 Mb
Release : 2022-02-01
Category : Business & Economics
ISBN : 9789811680168

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Logic-Driven Traffic Big Data Analytics by Shaopeng Zhong,Daniel (Jian) Sun Pdf

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.

Data Analytics: Paving the Way to Sustainable Urban Mobility

Eftihia G. Nathanail,Ioannis D. Karakikes
Data Analytics Paving the Way to Sustainable Urban Mobility Book PDF

Author : Eftihia G. Nathanail,Ioannis D. Karakikes
Publisher : Springer
Page : 877 pages
File Size : 40,8 Mb
Release : 2018-12-11
Category : Technology & Engineering
ISBN : 9783030023058

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Data Analytics: Paving the Way to Sustainable Urban Mobility by Eftihia G. Nathanail,Ioannis D. Karakikes Pdf

This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility

Smart Cities: A Data Analytics Perspective

Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim
Smart Cities A Data Analytics Perspective Book PDF

Author : Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim
Publisher : Springer Nature
Page : 322 pages
File Size : 49,6 Mb
Release : 2020-12-11
Category : Technology & Engineering
ISBN : 9783030609221

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Smart Cities: A Data Analytics Perspective by Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim Pdf

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.

Intelligent Transport Systems for Everyone’s Mobility

Tsunenori Mine,Akira Fukuda,Shigemi Ishida
Intelligent Transport Systems for Everyone s Mobility Book PDF

Author : Tsunenori Mine,Akira Fukuda,Shigemi Ishida
Publisher : Springer
Page : 471 pages
File Size : 53,9 Mb
Release : 2019-07-17
Category : Science
ISBN : 9789811374340

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Intelligent Transport Systems for Everyone’s Mobility by Tsunenori Mine,Akira Fukuda,Shigemi Ishida Pdf

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.

Deep Learning and Big Data for Intelligent Transportation

Khaled R. Ahmed,Aboul Ella Hassanien
Deep Learning and Big Data for Intelligent Transportation Book PDF

Author : Khaled R. Ahmed,Aboul Ella Hassanien
Publisher : Springer Nature
Page : 264 pages
File Size : 45,5 Mb
Release : 2021-04-10
Category : Computers
ISBN : 9783030656614

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Deep Learning and Big Data for Intelligent Transportation by Khaled R. Ahmed,Aboul Ella Hassanien Pdf

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.