Transportation Big Data : Theory and Methods

ISBN : 9780443338915

Author : Zhiyuan Liu

Publisher : Elsevier

Year : 2024

Language : English

Type : Book

Description : Transportation Big Data: Theory and Methods is centered around big data theory and methods. As big data is now a key topic in transport because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors, this book provides a structured analysis of commonly used methods for handling transportation big data. It is supported by a wealth of transportation engineering examples with codes. The book offers a concise, yet comprehensive description key techniques and important tools in transportation big data analysis. Covers big data applications in transportation engineering in real-world scenarios Shows how to select different machine learning algorithms for processing, analyzing, and modeling transportation data Provides an overview of the fundamental concepts of machine learning and how classical algorithms can be applied to transportation-related problems Provides an overview of Python's basic syntax and commonly used modules, enabling practical data analysis and modeling tasks using Python

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