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Transportation Big Data

Theory and Methods

Häftad, Engelska, 2024

AvZhiyuan Liu,Ziyuan Gu,Pan Liu

1 859 kr

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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

Produktinformation

  • Utgivningsdatum2024-12-05
  • Mått152 x 229 x 24 mm
  • Vikt740 g
  • FormatHäftad
  • SpråkEngelska
  • Antal sidor454
  • FörlagElsevier Science
  • ISBN9780443338915

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