Binding: Paperback
Description: 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.
Title: Handbook Of Mobility Data Mining Volume 3 Mobility Data - Driven Applications
Brand: Elsevier - Health Sciences Division
Barcode: 9780323958929
Pages: 242 Pages
Publication Date: 1/26/2023
Category: Data Mining