Название: Handbook of Mobility Data Mining, Volume 3: Mobility Data-Driven Applications
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 244
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
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. Volume 3: Mobility Data-driven Applications looks at various case studies to illustrate and explore the methods introduced in the first two volumes. It begins with a set of chapters on intelligent transportation management, using cases of bicycle-sharing, ride-hailing, travel time prediction, railway usage analysis, mobility data-driven service, and dynamic road pricing. It concludes with chapters on urban sustainability development, including road emission and living environment inequity analysis.