<p><span>In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive los
Data Analytics for Intelligent Transportation Systems
โ Scribed by Mashrur Chowdhury, Amy Apon and Kakan Dey (Eds.)
- Publisher
- Elsevier
- Year
- 2017
- Tongue
- English
- Leaves
- 321
- Edition
- 1st Edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce.
It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.
โฆ Table of Contents
Content:
Front-matter,Copyright,Dedication,About the Editors,About the Contributors,Preface,AcknowledgmentsEntitled to full textChapter 1 - Characteristics of Intelligent Transportation Systems and Its Relationship With Data Analytics, Pages 1-29, Sakib M. Khan, Mizanur Rahman, Amy Apon, Mashrur Chowdhury
Chapter 2 - Data Analytics: Fundamentals, Pages 31-67, Venkat N. Gudivada
Chapter 3 - Data Science Tools and Techniques to Support Data Analytics in Transportation Applications, Pages 69-90, Linh B. Ngo
Chapter 4 - The Centrality of Data: Data Lifecycle and Data Pipelines, Pages 91-111, Beth Plale, Inna Kouper
Chapter 5 - Data Infrastructure for Intelligent Transportation Systems, Pages 113-129, Andre Luckow, Ken Kennedy
Chapter 6 - Security and Data Privacy of Modern Automobiles, Pages 131-163, Juan Deng, Lu Yu, Yu Fu, Oluwakemi Hambolu, Richard R. Brooks
Chapter 7 - Interactive Data Visualization, Pages 165-190, Chad A. Steed
Chapter 8 - Data Analytics in Systems Engineering for Intelligent Transportation Systems, Pages 191-213, Ethan T. McGee, John D. McGregor
Chapter 9 - Data Analytics for Safety Applications, Pages 215-239, Yuanchang Xie
Chapter 10 - Data Analytics for Intermodal Freight Transportation Applications, Pages 241-262, Nathan Huynh, Majbah Uddin, Chu Cong Minh
Chapter 11 - Social Media Data in Transportation, Pages 263-281, Sakib M. Khan, Linh B. Ngo, Eric A. Morris, Kakan Dey, Yan Zhou
Chapter 12 - Machine Learning in Transportation Data Analytics, Pages 283-307, Parth Bhavsar, Ilya Safro, Nidhal Bouaynaya, Robi Polikar, Dimah Dera
Index, Pages 309-316
โฆ Subjects
Home;Books & Journals;Social Sciences;Transportation;Transportation Systems;Data Analytics for Intelligent Transportation Systems
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