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Travel behavior characteristics analysis technology based on mobile phone location datamethodology and empirical research /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Travel behavior characteristics analysis technology based on mobile phone location databy Fei Yang, Zhenxing Yao.
其他題名:	methodology and empirical research /
作者:	Yang, Fei.
其他作者:	Yao, Zhenxing.
出版者:	Singapore :Springer Singapore :2022.
面頁冊數:	xxii, 217 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Choice of transportationData processing.
電子資源:	https://doi.org/10.1007/978-981-16-8008-3
ISBN:	9789811680083$q(electronic bk.)

Travel behavior characteristics analysis technology based on mobile phone location datamethodology and empirical research /
Yang, Fei.

Travel behavior characteristics analysis technology based on mobile phone location datamethodology and empirical research /[electronic resource] :by Fei Yang, Zhenxing Yao. - Singapore :Springer Singapore :2022. - xxii, 217 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. 2 Literature Review -- Chapter 3. Methodology for Mobile Phone Location Data Mining -- Chapter 4. Mobile Phone Sensor Data Collection And Analysis -- Chapter 5. Pedestrian-Traffic Flow-Communication' Integrated Simulation Platform Construction -- Chapter 6. Empirical Study on Trip Information Extraction Based on Mobile Phone Sensor Data -- Chapter 7. Influence Parameters and Sensitivity Analysis -- Chapter 8. Thinking about Application of Refined Travel Data in Traffic Planning -- Chapter 9. Outlook -- Appendix.

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.

ISBN: 9789811680083$q(electronic bk.)

Standard No.: 10.1007/978-981-16-8008-3doiSubjects--Topical Terms:

923715
Choice of transportation
--Data processing.

LC Class. No.: HE336.C5 / Y35 2022

Dewey Class. No.: 388.4

Travel behavior characteristics analysis technology based on mobile phone location datamethodology and empirical research /
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