001445311 000__ 03239cam\a2200493Ia\4500
001445311 001__ 1445311
001445311 003__ OCoLC
001445311 005__ 20230310003824.0
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001445311 008__ 220323s2022\\\\si\\\\\\o\\\\\000\0\eng\d
001445311 019__ $$a1305166969$$a1305437932$$a1306056342
001445311 020__ $$a9789811680083$$q(electronic bk.)
001445311 020__ $$a9811680086$$q(electronic bk.)
001445311 020__ $$z9811680078
001445311 020__ $$z9789811680076
001445311 0247_ $$a10.1007/978-981-16-8008-3$$2doi
001445311 035__ $$aSP(OCoLC)1305011471
001445311 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dN$T$$dOCLCO$$dOCLCF$$dOCLCQ
001445311 0411_ $$aeng$$hchi
001445311 049__ $$aISEA
001445311 050_4 $$aHE336.C5
001445311 08204 $$a388.4$$223
001445311 1001_ $$aYang, Fei,$$eauthor.
001445311 24510 $$aTravel behavior characteristics analysis technology based on mobile phone location data:$$bmethodology and empirical research /$$cFei Yang, Zhenxing Yao.
001445311 260__ $$aSingapore :$$bSpringer,$$c2022.
001445311 300__ $$a1 online resource
001445311 5050_ $$aChapter 1. Introduction -- Chapter 2. 2 Literature Review -- Chapter 3. Methodology for Mobile Phone Location Data Mining -- Chapter 4. Mobile Phone Sensor Data Collection And Analysis -- Chapter 5. Pedestrian-Traffic Flow-Communication's Integrated Simulation Platform Construction -- Chapter 6. Empirical Study on Trip Information Extraction Based on Mobile Phone Sensor Data -- Chapter 7. Influence Parameters and Sensitivity Analysis -- Chapter 8. Thinking about Application of Refined Travel Data in Traffic Planning -- Chapter 9. Outlook -- Appendix.
001445311 506__ $$aAccess limited to authorized users.
001445311 520__ $$aThis book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making. This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.
001445311 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 29, 2022).
001445311 650_0 $$aChoice of transportation$$xData processing.
001445311 650_0 $$aTransportation$$xPlanning$$xData processing.
001445311 650_6 $$aTransport$$xChoix des modes$$xInformatique.
001445311 650_6 $$aTransport$$xPlanification$$xInformatique.
001445311 655_0 $$aElectronic books.
001445311 7001_ $$aYao, Zhenxing,$$eauthor.
001445311 77608 $$iPrint version:$$z9811680078$$z9789811680076$$w(OCoLC)1280196459
001445311 852__ $$bebk
001445311 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-8008-3$$zOnline Access$$91397441.1
001445311 909CO $$ooai:library.usi.edu:1445311$$pGLOBAL_SET
001445311 980__ $$aBIB
001445311 980__ $$aEBOOK
001445311 982__ $$aEbook
001445311 983__ $$aOnline
001445311 994__ $$a92$$bISE