Mobility Patterns, Big Data and Transport Analytics

by Antoniou, Constantinos

Type Book

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Title Statements

Full title :Mobility Patterns, Big Data and Transport Analytics

Edition Statements

Publication Date:2018.

Publication Statements

Publisher(s):Elsevier
Place of Publication:San Diego
Language:eng
Publication Date:2018.

Notes

8 Conclusions

The Physical Object

Description:1 online resource (516 pages)

Edition Identifiers

ISBN:9780128129715, 0128129719
oclc:on1076805772
LC Classification:HE305
Dewey Decimal:388.4

Intro; Title page; Table of Contents; Copyright; Dedication; Contributors; About the Editors; Chapter 1: Big Data and Transport Analytics: An Introduction; Abstract; 1 Introduction; 2 Book Structure; Special Acknowledgments; Part I: Methodological; Chapter 2: Machine Learning Fundamentals; Abstract; 1 Introduction; 2 A Little Bit of History; 3 Deep Neural Networks and Optimization; 4 Bayesian Models; 5 Basics of Machine Learning Experiments; 6 Concluding Remarks; Chapter 3: Using Semantic Signatures for Social Sensing in Urban Environments; Abstract; 1 Introduction; 2 Spatial Signatures

3 Temporal Signatures4 Thematic Signatures; 5 Examples; 6 Summary; Chapter 4: Geographic Space as a Living Structure for Predicting Human Activities Using Big Data; Abstract; Acknowledgments; 1 Introduction; 2 Living Structure and the Topological Representation; 3 Data and Data Processing; 4 Prediction of Tweet Locations Through Living Structure; 5 Implications on the Topological Representation and Living Structure; 6 Conclusion; Chapter 5: Data Preparation; Abstract; 1 Introduction; 2 Tools and Techniques; 3 Probe Vehicle Traffic Data; 4 Context Data

Chapter 6: Data Science and Data Visualizatio…

Subjects

Electronic books Technique de la circulation traffic engineering Transports urbains Transports urbains -- Méthodes de simul… urban transportation Urban transportation -- Simulation meth…