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iCity & Big Data

Guest Editor-in-Chief
Pan, Yunhe, Zhejiang University, China
Reddy, Raj, Carnegie Mellon Universtiy, USA
 
Members
Cao, Longbing, University of Technology Sydney, Australia
Cassandras, Christos G., Boston University, USA
Cheng, Xueqi, Institute of Computing Technology, Chinese Academy of Sciences, China
Eberspaecher, Joerg, Technical University of Munich, Germany
Garrett, James H., Carnegie Mellon Universtiy, USA
Hall, Wendy, University of Southampton, UK
Herzog, Otthein, University of Bremen, Germany
Kotagiri, Ramamohanarao, The University of Melbourne, Australia
Krishnan, Ramayya, Carnegie Mellon Universtiy, USA
Li, Guojie, Institute of Computing Technology, Chinese Academy of Sciences, China
Li, Renhan, Chinese Academy of Engineering, China
Miskovic, Stanislav, Symantec, USA
Ning, Jinsheng, Wuhan University, China
Piuri, Vincenzo, The University of Milan, Italy
Sachsenmeier, Peter, IMAG Information Management AG, Germany
Schieferdecker, Ina, Freie Universität Berlin, Germany
Strbac, Goran, Imperial College, UK
Wah, Benjamin, The Chinese University of Hong Kong, China
Wu, Cheng, Tsinghua University, China
Wu, Manqing, China Electronics Technology Group Corporation, China
Wu, Zhiqiang, Tongji Univiersity, China
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Smart Cities as Cyber-Physical Social Systems
Christos G. Cassandras
Engineering    2016, 2 (2): 156-158.   DOI: 10.1016/J.ENG.2016.02.012
Abstract   HTML   PDF (836KB)

The emerging prototype for a Smart City is one of an urban environment with a new generation of innovative services for transportation, energy distribution, healthcare, environmental monitoring, business, commerce, emergency response, and social activities. Enabling the technology for such a setting requires a viewpoint of Smart Cities as cyber-physical systems (CPSs) that include new software platforms and strict requirements for mobility, security, safety, privacy, and the processing of massive amounts of information. This paper identifies some key defining characteristics of a Smart City, discusses some lessons learned from viewing them as CPSs, and outlines some fundamental research issues that remain largely open.

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Autonomous Driving in the iCity—HD Maps as a Key Challenge of the Automotive Industry
Heiko G. Seif, Xiaolong Hu
Engineering    2016, 2 (2): 159-162.   DOI: 10.1016/J.ENG.2016.02.010
Abstract   HTML   PDF (1884KB)

This article provides in-depth insights into the necessary technologies for automated driving in future cities. State of science is reflected from different perspectives such as in-car computing and data management, road side infrastructure, and cloud solutions. Especially the challenges for the application of HD maps as core technology for automated driving are depicted in this article.

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Urban Big Data and the Development of City Intelligence
Yunhe Pan, Yun Tian, Xiaolong Liu, Dedao Gu, Gang Hua
Engineering    2016, 2 (2): 171-178.   DOI: 10.1016/J.ENG.2016.02.003
Abstract   HTML   PDF (889KB)

This study provides a definition for urban big data while exploring its features and applications of China’s city intelligence. The differences between city intelligence in China and the “smart city” concept in other countries are compared to highlight and contrast the unique definition and model for China’s city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intelligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China’s urban big data. Considering the supporting and core role that urban big data plays in city intelligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China’s urban development. In conclusion, it is imperative that China make full use of its unique advantages—including using the nation’s current state of development and resources, geographical advantages, and good human relations—in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data.

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