Описание: The book contains chapters based on urban planning and design, policies and financial management, environment, energy, transportation, smart materials, sustainable development, information technologies, data management and urban sociology reflecting the major themes of the conference.
Описание: Provides the background for those who want to know more about the effects of road design on driving behaviour. This title uses a systems approach to allow a better understanding of why and in what circumstances drivers may commit errors.
Описание: 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.
Описание: The CEM 11+ exam combines Non-Verbal Reasoning and mathematics-based questions into one exam. This book offers 5 such tests with 75 questions in each test. It gives practice in the Non-Verbal Reasoning and Mathematics elements of the CEM 11+ exam. You can monitor your child`s success using the chart linked to each individual test - this allows you to easily spot any areas that your child finds problematic and where supplementary practice may be required. This well written book offers a very structured way to explain and study for the CEM 11+ Non-Verbal Reasoning/Mathematics papers. Working and practicing for the CEM 11+ is crucial for success in this difficult exam.
Автор: Eftihia G. Nathanail; Ioannis D. Karakikes Название: Data Analytics: Paving the Way to Sustainable Urban Mobility ISBN: 3030023044 ISBN-13(EAN): 9783030023041 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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