國立虎尾科技大學 |

Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data = Methodology and Empirical Research /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data/ by Fei Yang, Zhenxing Yao.
其他題名:	Methodology and Empirical Research /
作者:	Yang, Fei.
其他作者:	Yao, Zhenxing.
面頁冊數:	XXII, 217 p. 122 illus., 107 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Sociological Methods. -
電子資源:	https://doi.org/10.1007/978-981-16-8008-3
ISBN:	9789811680083

Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data = Methodology 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. - 1st ed. 2022. - XXII, 217 p. 122 illus., 107 illus. in color.online resource.

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

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

1365796
Sociological Methods.

LC Class. No.: H61.3

Dewey Class. No.: 300.00285

Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data = Methodology and Empirical Research /
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