Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data (PDF)
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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.
Zhenxing Yao, Ph.D., is an assistant professor at the College of Transportation Engineering, Chang'an University. He has long been engaged in the research and application of intelligent transportation systems, transportation big data, active traffic management and traffic simulation. He has participated in more than 10 national and provincial research projects, such as the National Natural Science Foundation of China and Social Sciences Foundation of the Ministry of Education, and participated in more than 30 traffic practice projects. He has published more than 20 academic papers, 2 monographs, 4 patents and 5 software copyrights. He also serves as the reviewer of several famous journals in traffic engineering, including Transportation
- Autoren: Fei Yang , Zhenxing Yao
- 2022, 1st ed. 2022, 217 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811680086
- ISBN-13: 9789811680083
- Erscheinungsdatum: 19.03.2022
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- Dateiformat: PDF
- Größe: 10 MB
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