Author: Constantinos Antoniou Publisher: Elsevier ISBN: 9780128129708 Category : Social Science Languages : en Pages : 0
Book Description
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.
Author: Chiara Renso Publisher: Cambridge University Press ISBN: 1107292360 Category : Computers Languages : en Pages : 393
Book Description
Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.
Author: Fosca Giannotti Publisher: Springer Science & Business Media ISBN: 3540751777 Category : Computers Languages : en Pages : 415
Book Description
Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and technological issues of mobility data, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, and this book relates their findings in 13 chapters covering all related subjects.
Author: George A. Vouros Publisher: Springer Nature ISBN: 303045164X Category : Computers Languages : en Pages : 361
Book Description
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.
Author: Eftihia G. Nathanail Publisher: Springer ISBN: 3030023052 Category : Technology & Engineering Languages : en Pages : 877
Book Description
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
Author: Darmont, Jérôme Publisher: IGI Global ISBN: 1522549641 Category : Business & Economics Languages : en Pages : 335
Book Description
Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five “Vs” of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.
Author: Ivana Cavar Semanjski Publisher: Elsevier ISBN: 0128208910 Category : Political Science Languages : en Pages : 268
Book Description
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
Author: Evangelos Simoudis Publisher: ISBN: 9780998067728 Category : Languages : en Pages : 328
Book Description
Transportation Transformation is an indispensable GPS for every automaker, transportation startup, investor, policymaker, or regulator who is planning the future of urban and suburban transit, and anyone else with a need to understand the changing ways in which consumers and goods will get around. When an industry this large changes this rapidly, strategy becomes complex and challenging. Transportation Transformation provides the crucial vision necessary to navigate those changes with confidence. Comprehensive, global, and meticulously researched, Transportation Transformation presents a vision of next-generation urban mobility arising from the interplay among three major groups: the automakers, the mobility services companies, and the cities. Transportation's future is subject to consumer shifts, driven by disruptive technology and business model innovations including autonomous or automated, connected, and electrified vehicles; on-demand mobility services, such as ride-hailing and micromobility; and rapidly multiplying new ways to deliver consumer transportation and goods. The book describes the transformations that automakers, mobility services companies, and cities must undertake, the new value chains that will form as a result of these transformations, and the business models that will enable the transformed organizations to monetize or otherwise benefit from next-generation mobility. Transportation Transformation details the central role of data, AI and other data-driven technologies in next-generation mobility and explains the key risks we must address in the process of transforming transportation. Even as traditional models of vehicle acquisition and ownership weaken, new business models are emerging, including subscription-, merchandising-, and advertising-based revenue streams. Such innovations will remake the staid and traditional value chains that dominate today's transportation markets and create new ones. Transportation Transformation discusses these new models under a variety of implementation scenarios involving automakers, Tier 1 suppliers, mobility services companies, and Internet technology providers. It analyzes the resulting new revenue streams and the value chains that will remake the economics of the automobile industry as well as the broader transportation and goods delivery industries. And it discusses in revealing detail the opportunities and risks ushered in by these shifts and disruptions.
Author: Nikos Pelekis Publisher: Springer ISBN: 1493903926 Category : Computers Languages : en Pages : 301
Book Description
This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, indexing, processing, analyzing and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are also covered. Theoretical presentation is smoothly interchanged with hands-on exercises and case studies involving an actual MOD engine. The authors are established experts who address both theoretical and practical dimensions of the field but also present valuable prototype software. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students studying database management, data mining and geographic information systems.
Author: Haoran Zhang Publisher: Elsevier ISBN: 0323901700 Category : Transportation Languages : en Pages : 308
Book Description
Big Data and Mobility as a Service explores MaaS platforms that can be adaptable to the ever-evolving mobility environment. It looks at multi-mode urban crowd data to assess urban mobility characteristics, their shared transportation potential, and their performance conditions and constraints. The book analyzes the roles of multimodality, travel behavior, urban mobility dynamics and participation. Combined with insights on using big data to analyze market and policy decisions, this book is an essential tool for urban transportation management researchers and practitioners. - Summarizes current fundamental MaaS technologies - Shows how to utilize anonymous big data for transportation analysis and problem-solving - Illustrates, with data-enabled shared transportation service examples from different countries, the similarities and differences within a global urban mobility framework
Author: Constantinos Antoniou
Author: Chiara Renso
Author: Fosca Giannotti
Author: George A. Vouros
Author: Eftihia G. Nathanail
Author: Darmont, Jérôme
Author: Ivana Cavar Semanjski
Author: Evangelos Simoudis
Author: Nikos Pelekis
Author: Haoran Zhang