Mobility Patterns Big Data And Transport Analytics

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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 : 51,7 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

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 : 53,5 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

Handbook of Mobility Data Mining, Volume 2

Haoran Zhang
Handbook of Mobility Data Mining Volume 2 Book PDF

Author : Haoran Zhang
Publisher : Elsevier
Page : 212 pages
File Size : 46,5 Mb
Release : 2023-01-29
Category : Business & Economics
ISBN : 9780443184253

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Handbook of Mobility Data Mining, Volume 2 by Haoran Zhang Pdf

Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction 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 introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. The book concludes with a chapter on graph-based mobility data analytics. The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations. Discusses how to efficiently simulate massive and large-scale people movement and predict mobility at an urban scale Introduces both online detection methods, which can sequentially process data, and offline detection methods, which are usually more robust 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 Analytics for Time-Critical Mobility Forecasting

George A. Vouros,Gennady Andrienko,Christos Doulkeridis,Nikolaos Pelekis,Alexander Artikis,Anne-Laure Jousselme,Cyril Ray,Jose Manuel Cordero,David Scarlatti
Big Data Analytics for Time Critical Mobility Forecasting Book PDF

Author : George A. Vouros,Gennady Andrienko,Christos Doulkeridis,Nikolaos Pelekis,Alexander Artikis,Anne-Laure Jousselme,Cyril Ray,Jose Manuel Cordero,David Scarlatti
Publisher : Springer Nature
Page : 361 pages
File Size : 50,7 Mb
Release : 2020-06-23
Category : Computers
ISBN : 9783030451646

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Big Data Analytics for Time-Critical Mobility Forecasting by George A. Vouros,Gennady Andrienko,Christos Doulkeridis,Nikolaos Pelekis,Alexander Artikis,Anne-Laure Jousselme,Cyril Ray,Jose Manuel Cordero,David Scarlatti Pdf

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving entities spread across large geographical areas. It presents state-of-the-art methods for processing, managing, detecting and predicting trajectories and important events related to moving entities, together with advanced visual analytics methods, over multiple heterogeneous, voluminous, fluctuating and noisy data streams from moving entities, correlating them with data from archived data sources expressing e.g. entities’ characteristics, geographical information, mobility patterns, mobility regulations and intentional data. The book is divided into six parts: Part I discusses the motivation and background of mobility forecasting supported by trajectory-oriented analytics, and includes specific problems and challenges in the aviation (air-traffic management) and the maritime domains. Part II focuses on big data quality assessment and processing, and presents novel technologies suitable for mobility analytics components. Next, Part III describes solutions toward processing and managing big spatio-temporal data, particularly enriching data streams and integrating streamed and archival data to provide coherent views of mobility, and storing of integrated mobility data in large distributed knowledge graphs for efficient query-answering. Part IV focuses on mobility analytics methods exploiting (online) processed, synopsized and enriched data streams as well as (offline) integrated, archived mobility data, and highlights future location and trajectory prediction methods, distinguishing between short-term and more challenging long-term predictions. Part V examines how methods addressing data management, data processing and mobility analytics are integrated in big data architectures with distinctive characteristics compared to other known big data paradigmatic architectures. Lastly, Part VI covers important ethical issues that research on mobility analytics should address. Providing novel approaches and methodologies related to mobility detection and forecasting needs based on big data exploration, processing, storage, and analysis, this book will appeal to computer scientists and stakeholders in various application domains.

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 : 51,5 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.

Transportation Analytics in the Era of Big Data

Satish V. Ukkusuri,Chao Yang
Transportation Analytics in the Era of Big Data Book PDF

Author : Satish V. Ukkusuri,Chao Yang
Publisher : Springer
Page : 234 pages
File Size : 51,7 Mb
Release : 2018-07-28
Category : Business & Economics
ISBN : 9783319758626

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Transportation Analytics in the Era of Big Data by Satish V. Ukkusuri,Chao Yang Pdf

This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang. The book is intended to explore a multidisciplinary perspective to big data science in urban transportation, motivated by three critical observations: The rapid advances in the observability of assets, platforms for matching supply and demand, thereby allowing sharing networks previously unimaginable. The nearly universal agreement that data from multiple sources, such as cell phones, social media, taxis and transit systems can allow an understanding of infrastructure systems that is critically important to both quality of life and successful economic competition at the global, national, regional, and local levels. There is presently a lack of unifying principles and methodologies that approach big data urban systems. The workshop brought together varied perspectives from engineering, computational scientists, state and central government, social scientists, physicists, and network science experts to develop a unifying set of research challenges and methodologies that are likely to impact infrastructure systems with a particular focus on transportation issues. The book deals with the emerging topic of data science for cities, a central topic in the last five years that is expected to become critical in academia, industry, and the government in the future. There is currently limited literature for researchers to know the opportunities and state of the art in this emerging area, so this book fills a gap by synthesizing the state of the art from various scholars and help identify new research directions for further study.

Demand for Emerging Transportation Systems

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

Author : Constantinos Antoniou,Dimitrios Efthymiou,Emmanouil Chaniotakis
Publisher : Elsevier
Page : 314 pages
File Size : 51,8 Mb
Release : 2019-12-02
Category : Business & Economics
ISBN : 9780128150191

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Demand for Emerging Transportation Systems by Constantinos Antoniou,Dimitrios Efthymiou,Emmanouil Chaniotakis 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

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 : 43,5 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

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 : 55,7 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.

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 : 45,6 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 – BigData 2020

Surya Nepal,Wenqi Cao,Aziz Nasridinov,MD Zakirul Alam Bhuiyan,Xuan Guo,Liang-Jie Zhang
Big Data BigData 2020 Book PDF

Author : Surya Nepal,Wenqi Cao,Aziz Nasridinov,MD Zakirul Alam Bhuiyan,Xuan Guo,Liang-Jie Zhang
Publisher : Springer Nature
Page : 264 pages
File Size : 45,8 Mb
Release : 2020-09-17
Category : Computers
ISBN : 9783030596125

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Big Data – BigData 2020 by Surya Nepal,Wenqi Cao,Aziz Nasridinov,MD Zakirul Alam Bhuiyan,Xuan Guo,Liang-Jie Zhang Pdf

This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 3 short papers presented were carefully reviewed and selected from 52 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

Smart Urban Mobility

Ivana Cavar Semanjski
Smart Urban Mobility Book PDF

Author : Ivana Cavar Semanjski
Publisher : Elsevier
Page : 268 pages
File Size : 45,5 Mb
Release : 2023-02-08
Category : Political Science
ISBN : 9780128208915

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Smart Urban Mobility by Ivana Cavar Semanjski Pdf

Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins explores the data-driven paradigm shift in urban mobility planning and examines how well-established practices and strong data analytics efforts can be better aligned to fit transport planning practices and "smart" mobility management needs. The book provides a comprehensive survey of the major big data and technology resources derived from smart cities research which are collectively poised to transform urban mobility. Chapters highlight the important aspects of each data source affecting applicability, along with the outcomes of smart mobility measures and campaigns.Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects will gain a better understanding of this up-and-coming research from this book’s detailed overview and numerous practical examples and best practices for operational deployment. Addresses key principles underlying smart mobility, as well as opportunities and challenges of integrating big data-driven insights into transport planning and smart cities Presents practical advice on how to implement smart mobility advances, providing a benchmark reference by best practice examples in the field Examines synthesis of existing gaps, limitations, and big data potential beyond traditional data needs for transport planning, as well as examples of the best practices

Handbook of Mobility Data Mining, Volume 3

Haoran Zhang
Handbook of Mobility Data Mining Volume 3 Book PDF

Author : Haoran Zhang
Publisher : Elsevier
Page : 242 pages
File Size : 52,8 Mb
Release : 2023-01-15
Category : Business & Economics
ISBN : 9780323958929

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Handbook of Mobility Data Mining, Volume 3 by Haoran Zhang Pdf

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

Recent Advances in Transportation Systems Engineering and Management

M. V. L. R. Anjaneyulu,M. Harikrishna,Shriniwas S. Arkatkar,A. Veeraragavan
Recent Advances in Transportation Systems Engineering and Management Book PDF

Author : M. V. L. R. Anjaneyulu,M. Harikrishna,Shriniwas S. Arkatkar,A. Veeraragavan
Publisher : Springer Nature
Page : 903 pages
File Size : 42,5 Mb
Release : 2022-11-10
Category : Technology & Engineering
ISBN : 9789811922732

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Recent Advances in Transportation Systems Engineering and Management by M. V. L. R. Anjaneyulu,M. Harikrishna,Shriniwas S. Arkatkar,A. Veeraragavan Pdf

The book presents the select proceedings of the 8th International Conference on Transportation Systems Engineering and Management (CTSEM 2021). The book covers topics pertaining to three broad areas of transportation engineering, namely Transportation Planning, Traffic Engineering and Pavement Technology. The topics covered include transportation and land use, urban and regional transportation planning, travel behavior modeling, travel demand analysis, forecasting and management, transportation and ICT, public transport planning and management, freight transport, traffic flow modeling and management, highway design and maintenance, capacity and level of service, traffic crashes and safety, ITS and applications, non-motorized transportation, transportation economics and policy, road and parking pricing, pedestrian facilities and safety, road asset management, pavement materials and characterization, pavement design and construction, pavement evaluation and management, transportation infrastructure financing, innovative trends in transportation systems, sustainable transportation, smart cities, resilience of transportation systems and environmental and ecological aspects. This book will be useful for the students, researchers and the professionals in the area of civil engineering, especially transportation and traffic engineering.

Mobility Analytics for Spatio-Temporal and Social Data

Christos Doulkeridis,George A. Vouros,Qiang Qu,Shuhui Wang
Mobility Analytics for Spatio Temporal and Social Data Book PDF

Author : Christos Doulkeridis,George A. Vouros,Qiang Qu,Shuhui Wang
Publisher : Springer
Page : 186 pages
File Size : 54,9 Mb
Release : 2018-01-05
Category : Computers
ISBN : 9783319735214

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Mobility Analytics for Spatio-Temporal and Social Data by Christos Doulkeridis,George A. Vouros,Qiang Qu,Shuhui Wang Pdf

This book constitutes the refereed post-conference proceedings of the First International Workshop on Mobility Analytics for Spatio-Temporal and Social Data, MATES 2017, held in Munich, Germany, in September 2017. The 6 revised full papers and 2 short papers included in this volume were carefully reviewed and selected from 13 submissions. Also included are two keynote speeches. The papers intend to raise awareness of real-world problems in critical domains which require novel data management solutions. They are organized in two thematic sections: social network analytics and applications, and spatio-temporal mobility analytics.