"This book highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society, offering novel ideas grounded in big data from various data mining and transportation science sources"--
Contributors from the technical and business sides of transport, as well as from related fields such as tourism and geography, summarize recent research about spatial-temporal micro-simulation methodologies for human mobility, grounded on massive amounts of big data of various types and from various sources such as GPS, mobile phones, and social networking sites. Of major interest is preparing for the projected massive switch to electric vehicles. The topics include synthetic population techniques in activity-based research, an effective methodology for collecting data about road accidents in developing countries, large-scale agent-based models for managing transportation networks under unplanned events, adding electric vehicle modeling capability to an agent-based transport simulation, and mapping the impact of electric vehicle charge opportunities on grids and fleets. Annotation ©2014 Book News, Inc., Portland, OR (booknews.com)
Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.
Lisainfo e-raamatute kohta