Big Data Transportation Systems

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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 : 40,7 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

Computation and Big Data for Transport

Pedro Diez,Pekka Neittaanmäki,Jacques Periaux,Tero Tuovinen,Jordi Pons-Prats
Computation and Big Data for Transport Book PDF

Author : Pedro Diez,Pekka Neittaanmäki,Jacques Periaux,Tero Tuovinen,Jordi Pons-Prats
Publisher : Springer Nature
Page : 252 pages
File Size : 41,5 Mb
Release : 2020-02-28
Category : Technology & Engineering
ISBN : 9783030377526

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Computation and Big Data for Transport by Pedro Diez,Pekka Neittaanmäki,Jacques Periaux,Tero Tuovinen,Jordi Pons-Prats Pdf

This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications. The book seeks to answer the question of how computational research in transport can provide innovative solutions to Green Transportation challenges identified in the ambitious Horizon 2020 program. In particular, the respective papers present the state of the art in transport modeling, simulation and optimization in the fields of maritime, aeronautics, automotive and logistics research. In addition, the content includes two white papers on transport challenges and prospects. Given its scope, the book will be of interest to students, researchers, engineers and practitioners whose work involves the implementation of Intelligent Transport Systems (ITS) software for the optimal use of roads, including safety and security, traffic and travel data, surface and air traffic management, and freight logistics.

Big Data Transportation Systems

Guanghui Zhao,Gusheng Zhu
Big Data Transportation Systems Book PDF

Author : Guanghui Zhao,Gusheng Zhu
Publisher : World Scientific Publishing Company
Page : 352 pages
File Size : 49,8 Mb
Release : 2021
Category : Computers
ISBN : 9811235996

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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.

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 : 42,5 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 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 : 44,5 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 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 : 54,6 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

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 : 55,9 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.

Data-Driven Solutions to Transportation Problems

Yinhai Wang,Ziqiang Zeng
Data Driven Solutions to Transportation Problems Book PDF

Author : Yinhai Wang,Ziqiang Zeng
Publisher : Elsevier
Page : 299 pages
File Size : 48,7 Mb
Release : 2018-12-04
Category : Transportation
ISBN : 9780128170274

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Data-Driven Solutions to Transportation Problems by Yinhai Wang,Ziqiang Zeng Pdf

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

Demand for Emerging Transportation Systems

Constantinos Antoniou,Dimitrios Efthymiou
Demand for Emerging Transportation Systems Book PDF

Author : Constantinos Antoniou,Dimitrios Efthymiou
Publisher : Unknown
Page : 312 pages
File Size : 42,9 Mb
Release : 2019-11
Category : Electronic
ISBN : 9780128150184

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Demand for Emerging Transportation Systems by Constantinos Antoniou,Dimitrios Efthymiou Pdf

Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns comprehensively examines the concepts and factors affecting user quality-of-service satisfaction. The book provides an introduction to the latest trends in transportation, followed by a critical review of factors affecting traditional and emerging transportation system adoption rates and user retention. This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis. Researchers will be guided through the nuances of transport and mobility services adoption, closing with an outlook of, and recommendations for, future research on the topic. This resource will appeal to practitioners and graduate students. Examines the dynamics affecting adoption rates for public transportation, vehicle-sharing, ridesharing systems and autonomous vehicles Covers the rationale behind travelers' continuous use of mobility services and their satisfaction and development Includes case studies, featuring mobility stats and contributions from around the world

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 : 49,9 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.

Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities

Moridpour, Sara,Toran Pour, Alireza,Saghapour, Tayebeh
Big Data Analytics in Traffic and Transportation Engineering Emerging Research and Opportunities Book PDF

Author : Moridpour, Sara,Toran Pour, Alireza,Saghapour, Tayebeh
Publisher : IGI Global
Page : 188 pages
File Size : 49,5 Mb
Release : 2019-01-11
Category : Technology & Engineering
ISBN : 9781522579441

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Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities by Moridpour, Sara,Toran Pour, Alireza,Saghapour, Tayebeh Pdf

Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.

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 : 50,8 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

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 : 47,8 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.

Transportation Systems

Sarbjeet Singh,Alberto Martinetti,Arnab Majumdar,Leo A. M. van Dongen
Transportation Systems Book PDF

Author : Sarbjeet Singh,Alberto Martinetti,Arnab Majumdar,Leo A. M. van Dongen
Publisher : Springer Nature
Page : 223 pages
File Size : 51,5 Mb
Release : 2019-08-20
Category : Business & Economics
ISBN : 9789813293236

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Transportation Systems by Sarbjeet Singh,Alberto Martinetti,Arnab Majumdar,Leo A. M. van Dongen Pdf

This book explores the application of breakthrough technologies to improve transportation performance. Transportation systems represent the “blood vessels” of a society, in which people and goods travel. They also influence people’s lives and affect the liveability and sustainability of our cities. The book shows how emergent technologies are able to monitor the condition of the structure in real time in order to schedule the right moment for maintenance activities an so reduce the disturbance to users. This book is a valuable resource for those involved in research and development in this field. Part I discusses the context of transportation systems, highlighting the major issues and challenges, the importance of understating human factors that could affect the maintenance operations and the main goals in terms of safety standards. Part II focuses on process-oriented innovations in transportation systems; this section stresses the importance of including design parameters in the planning, offering a comparison between risk-based and condition-based maintenance and, lastly, showing applications of emergent technologies. Part III goes on to reflect on the technical-oriented innovations, discussing the importance of studying the physical phenomena that are behind transportation system failures and problems. It then introduces the general trend of collecting and analyzing big data using real-world cases to evaluate the positive and negative aspects of adopting extensive smart sensors for gathering information on the health of the assets. The last part (IV) explores cultural and behavioural changes, and new knowledge management methods, proposing novel forms of maintenance and vocational training, and introduces the need for radical new visions in transportation for managing unexpected events. The continuous evolution of maintenance fields suggests that this compendium of “state-of-the-art” applications will not be the only one; the authors are planning a collection of cutting-edge examples of transportation systems that can assist researchers and practitioners as well as students in the process of understanding the complex and multidisciplinary environment of maintenance engineering applied to the transport sector.

New Horizons for a Data-Driven Economy

José María Cavanillas,Edward Curry,Wolfgang Wahlster
New Horizons for a Data Driven Economy Book PDF

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 44,5 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.