Transportation Big Data: Theory and Methods

Description

English | 2025 | PDF | 22 MB | 441 Pages

Zhiyuan Liu, Ziyuan Gu, Pan Liu, 9780443338915, 978-0443338915, 978-0-443-33891-5, B0DNSMFPG6, 0443338922, 0443338914, 9780443338922, 978-0443338922

Transportation Big Data: Theory and Methods is centered on the big data theory and methods. Big data is now a key topic in transportation, simply 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 the commonly used methods for handling transportation big data; it is supported by a wealth of transportation engineering examples, together with codes. It offers a concise, yet comprehensive, description of the 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