• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% rabatt på allt med kod NYSTART10 →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Matematisk statistik

    Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data

    Methodology and Empirical Research

    AvFei Yang,Zhenxing Yao

    Häftad, Engelska, 2023

    1 733 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Fler format och utgåvor

    Inbunden

    1 733 kr

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2023-03-21
    • Mått:155 x 235 x 14 mm
    • Vikt:371 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:217
    • Förlag:Springer Verlag, Singapore
    • ISBN:9789811680106
    • Originaltitel:基于手机定位数据的个体出行行为特征分析与技术研究——方法与实证

    Utforska kategorier

    • Matematisk statistik inom Naturvetenskap och teknik
    • Flyg- och rymdteknik inom Naturvetenskap och teknik
    • Sociologi inom Samhälle och politik

    Mer om författaren

    Fei Yang, Ph.D., professor, is the head of the Department of Traffic Engineering, Southwest Jiaotong University. He is a committee member of the Academic Committee of Urban Transport Planning of Urban Planning Society of China, the expert of the Young Expert Working Committee of China Intelligent Transportation Systems Association, the chairman of Technical Committee on public transport Operation and Management of the World Transport Convention, etc. Professor Yang has been selected into the Program for New Century Excellent Talents at University. He has conducted more than 10 national and provincial scientific research projects, including 4 projects of the National Natural Science Foundation of China and 1 subproject of the National Key R&D Program of China. He serves as the editorial board and reviewer of a number of international SCI journals and EI journals. In recent years, he has published more than 40 academic papers and 2 academic monographs, where one of the monographs is funded by the National Publication Foundation and selected into the National publication Plan for key publications of the “The 13th Five-Year Plan”. He has also applied for 13 invention patents, among which 7 have been authorized. 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 Research Part C and IEEE Transactions on ITS, and is a committee member of the public transport management committee of the World Transport Convention.

    Innehållsförteckning

    • 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.