D2SC: Data-driven smarter cities

Chao Chen; Daqing Zhang; Bin Guo

doi:10.1109/PerComW.2014.6815274

D²SC: Data-driven smarter cities

Chao Chen, Daqing Zhang, Bin Guo

School of Computer Science

Institut Mines-Télécom

Research output: Contribution to conference › Paper › peer-review

Abstract

Data revealing lots of facets about cities are becoming increasingly available, which provides an unprecedented opportunity to get and understand a whole picture of how cities work. In this paper, we first give a brief introduction to the study of data-driven smarter cities (D²SC); second, we introduce and classify some common data available about cities; third, we present four main research objects and features in D²SC, and survey the common research issues dealing with each object; finally, we propose a generic framework and discuss the research challenges.

Original language	English
Pages	599-603
Number of pages	5
DOIs	https://doi.org/10.1109/PerComW.2014.6815274
State	Published - 2014
Event	2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 - Budapest, Hungary Duration: 24 Mar 2014 → 28 Mar 2014

Conference

Conference	2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014
Country/Territory	Hungary
City	Budapest
Period	24/03/14 → 28/03/14

Keywords

challenges
data-driven
features
frame-work
smarter cities

Access to Document

10.1109/PerComW.2014.6815274

Cite this

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