Transportation big data : theory and methods.
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 structur...
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| Format: | eBook |
| Language: | English |
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Amsterdam, Netherlands :
Elsevier,
2025.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource |
| ISBN: | 0443338922 9780443338922 |