Description
This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
Table of Contents
Rational Thinking of Big Data “Fever”.- Urban Transportation Monitoring Based on the Concept of Complex Adaptive System.- Inheritance and Transformation of Technology.- Feature Extraction, Cluster Analysis and Object Representation.- Correlation Analysis and Research.- Information Fusion and Establishing of Evidence Collection.- Nesting Analysis of Big Data and Small Sample Data.- Conclusion and Prospect.
