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.
General
Imprint: |
Springer Verlag, Singapore
|
Country of origin: |
Singapore |
Release date: |
March 2023 |
First published: |
2022 |
Authors: |
Fei Yang
• Zhenxing Yao
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
217 |
Edition: |
1st ed. 2022 |
ISBN-13: |
978-981-16-8010-6 |
Subtitles: |
Chinese
|
Categories: |
Books
|
LSN: |
981-16-8010-8 |
Barcode: |
9789811680106 |
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