Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling 1st edition

Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling 1st edition- Ebook Instant Download/Delivery ISBN(s): 9780128129708,0128129700,9780128129715, 0128129719

Product details:

• ISBN-10 ‏ : ‎ 0128129700
• ISBN-13 ‏ : ‎ 978-0128129708
• Author: Constantinos Antoniou, Loukas Dimitriou, Francisco Pereira

Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns – a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena.

This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

Table contents:

Chapter 1: Big Data and Transport Analytics: An Introduction

Chapter 2: Machine Learning Fundamentals

Chapter 3: Using Semantic Signatures for Social Sensing in Urban Environments

Chapter 4: Geographic Space as a Living Structure for Predicting Human Activities Using Big Data

Chapter 5: Data Preparation

Chapter 6: Data Science and Data Visualization

Chapter 7: Model-Based Machine Learning for Transportation

Chapter 8: Textual Data in Transportation Research: Techniques and Opportunities

Chapter 9: Statewide Comparison of Origin-Destination Matrices Between California Travel Model and Twitter

Chapter 10: Transit Data Analytics for Planning, Monitoring, Control, and Information

Chapter 11: Data-Driven Traffic Simulation Models: Mobility Patterns Using Machine Learning Techniques

Chapter 12: Big Data and Road Safety: A Comprehensive Review

Chapter 13: A Back-Engineering Approach to Explore Human Mobility Patterns Across Megacities Using Online Traffic Maps

Chapter 14: Pavement Patch Defects Detection and Classification Using Smartphones, Vibration Signals and Video Images

Chapter 15: Collaborative Positioning for Urban Intelligent Transportation Systems (ITS) and Personal Mobility (PM): Challenges and Perspectives

People also search:

mobility patterns, big data and transport analytics:

mobility patterns big data and transport analytics

mobility patterns big data and transport analytics pdf

4 types of big data analytics

use of big data analytics