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Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data - Zhenxing Yao - Bog

Bag om Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data

This book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making. This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811680106
  • Indbinding:
  • Paperback
  • Sideantal:
  • 240
  • Udgivet:
  • 21. marts 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x14x235 mm.
  • Vægt:
  • 371 g.
  • 8-11 hverdage.
  • 7. december 2024
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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data

This book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making.
This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.

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