A literature survey on smart cities
暂无分享,去创建一个
Hui Chen | Zhang Xiong | Bertrand David | ChuanTao Yin | JingYuan Wang | Daven Cooper | Hui Chen | B. David | Chuantao Yin | Jingyuan Wang | Zhang Xiong | Daven Cooper
[1] Lin Sun,et al. Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).
[2] Nina Valkanova,et al. Public visualization displays of citizen data: Design, impact and implications , 2014, Int. J. Hum. Comput. Stud..
[3] Hongli Zhang,et al. Mobile cloud sensing, big data, and 5G networks make an intelligent and smart world , 2015, IEEE Network.
[4] José Ramón Gil-García,et al. Understanding Smart Cities: An Integrative Framework , 2012, HICSS.
[5] Kishor S. Trivedi,et al. Combining Cloud and sensors in a smart city environment , 2012, EURASIP J. Wirel. Commun. Netw..
[6] Jyotsna Bapat,et al. Data communication over the smart grid , 2009, 2009 IEEE International Symposium on Power Line Communications and Its Applications.
[7] Peter Nijkamp,et al. In praise of megacities in a global world , 2013 .
[8] Mahadev Satyanarayanan,et al. Mobile computing: the next decade , 2010, MCS '10.
[9] Victor Soto,et al. Robust Land Use Characterization of Urban Landscapes using Cell Phone Data , 2011 .
[10] Hanifa Shah,et al. Smart City as an Integrated Enterprise: A business process centric framework addressing challenges in systems integration , 2014 .
[11] Nectaria Tryfona,et al. Dynamic travel time provision for road networks , 2008, GIS '08.
[12] George Kozmetsky,et al. The Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks , 1992 .
[13] Ivan Herman,et al. Graph Visualization and Navigation in Information Visualization: A Survey , 2000, IEEE Trans. Vis. Comput. Graph..
[14] Emiliano Miluzzo,et al. A survey of mobile phone sensing , 2010, IEEE Communications Magazine.
[15] Loizos Heracleous,et al. A strategic view on smart city technology: The case of IBM Smarter Cities during a recession , 2014 .
[16] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[17] Pak Tee Ng. Embracing Emerging Technologies: The Case of the Singapore Intelligent Nation 2015 Vision , 2011 .
[18] Pu Liu,et al. China's Smart City Pilots: A Progress Report , 2014, Computer.
[19] Armando Bazzani,et al. Mobility in modern cities: looking for physical laws , 2007 .
[20] J. Bongaarts. United Nations Department of Economic and Social Affairs, Population Division World Mortality Report 2005 , 2006 .
[21] Zhaohui Wu,et al. Trace analysis and mining for smart cities: issues, methods, and applications , 2013, IEEE Communications Magazine.
[22] Peter van den Besselaar,et al. Digital Cities: Organization, Content, and Use , 1999, Digital Cities.
[23] Jürgen Kurths,et al. Evidence for a bimodal distribution in human communication , 2010, Proceedings of the National Academy of Sciences.
[24] Antonio F. Gómez-Skarmeta,et al. A Global Perspective of Smart Cities: A Survey , 2013, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.
[25] Yuan Ming Yuan,et al. Architecture and Data Vitalization of Smart City , 2011 .
[26] Wei Fan,et al. Mining big data: current status, and forecast to the future , 2013, SKDD.
[27] Hongzhou Zhang,et al. Video Structured Description - Vitalization Techniques for the Surveillance Video Data , 2012, IFTC.
[28] Anind K. Dey,et al. Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior , 2008, UbiComp.
[29] Patricia Ordóñez de Pablos,et al. Regional Innovation Systems and Sustainable Development: Emerging Technologies , 2010 .
[30] Prateep Misra,et al. Smart city surveillance: Leveraging benefits of cloud data stores , 2012, 37th Annual IEEE Conference on Local Computer Networks - Workshops.
[31] Leonidas G. Anthopoulos,et al. From Digital to Ubiquitous Cities: Defining a Common Architecture for Urban Development , 2010, 2010 Sixth International Conference on Intelligent Environments.
[32] Lei Chen,et al. Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis , 2010, 2010 IEEE 16th International Conference on Parallel and Distributed Systems.
[33] J. Malek. Informative global community development index of informative Smart City , 2009 .
[34] Daqing Zhang,et al. Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces , 2012, Pervasive.
[35] Andreas Krause,et al. Incentives for Privacy Tradeoff in Community Sensing , 2013, HCOMP.
[36] Robert Harrison,et al. Industrial Cloud-Based Cyber-Physical Systems: The IMC-AESOP Approach , 2014 .
[37] Bryan R. Roberts. Center and periphery in the development process: The case of Peru , 2013 .
[38] Lin Sun,et al. Real Time Anomalous Trajectory Detection and Analysis , 2012, Mobile Networks and Applications.
[39] Yuan Yao,et al. From digital Earth to smart Earth , 2014 .
[40] Zelda Bronstein. Industry and the smart city , 2009 .
[41] Luisito Bertinelli,et al. Urbanization and growth , 2004 .
[42] Chitra Balakrishna,et al. Enabling Technologies for Smart City Services and Applications , 2012, 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies.
[43] Pietro Liò,et al. Collective Human Mobility Pattern from Taxi Trips in Urban Area , 2012, PloS one.
[44] Carlo Ratti,et al. Traffic Origins: A Simple Visualization Technique to Support Traffic Incident Analysis , 2014, 2014 IEEE Pacific Visualization Symposium.
[45] Xiong Zhang,et al. Smart city architecture: A technology guide for implementation and design challenges , 2014, China Communications.
[46] Philip S. Yu,et al. Bag Constrained Structure Pattern Mining for Multi-Graph Classification , 2014, IEEE Transactions on Knowledge and Data Engineering.
[47] Javier A. Barria,et al. Detection and Classification of Traffic Anomalies Using Microscopic Traffic Variables , 2011, IEEE Transactions on Intelligent Transportation Systems.
[48] Anne Puissant,et al. The utility of texture analysis to improve per‐pixel classification for high to very high spatial resolution imagery , 2005 .
[49] Qing Liu,et al. A Linked Data-Based Framework for Personalized Services Information Retrieval in Smart City , 2013, WISE Workshops.
[50] T. Geisel,et al. The scaling laws of human travel , 2006, Nature.
[51] Albert-László Barabási,et al. Limits of Predictability in Human Mobility , 2010, Science.
[52] Scott Menard,et al. Perspectives on Population: An Introduction to Concepts and Issues , 1987 .
[53] Yang Du,et al. Finding Fastest Paths on A Road Network with Speed Patterns , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[54] Eiji Yamamura,et al. Modeling crime in Japan , 2012 .
[55] Masahide Nakamura,et al. Using cloud technologies for large-scale house data in smart city , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.
[56] Wei Hong,et al. Model-Driven Data Acquisition in Sensor Networks , 2004, VLDB.
[57] D. Schrank,et al. 2012 Urban Mobility Report , 2002 .
[58] Xing Xie,et al. Understanding transportation modes based on GPS data for web applications , 2010, TWEB.
[59] Andreas Krause,et al. Toward Community Sensing , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).
[60] Tamara Kulesa. A Vision of Smarter Cities : How Cities Can Lead the Way into a Prosperous and Sustainable Future Moderator : , 2009 .
[61] Jiawei Han,et al. Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach , 2007, VLDB.
[62] William K. Estes,et al. Introduction to concepts and issues , 1975 .
[63] Jianguo Wu,et al. A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA , 2004, Landscape Ecology.
[64] Nitin Gupta,et al. Wireless Sensor Network: A Review on Data Aggregation , 2011 .
[65] Robert Harrison,et al. Next Generation of Engineering Methods and Tools for SOA-Based Large-Scale and Distributed Process Applications , 2014 .
[66] R. Gallotti,et al. Statistical laws in urban mobility from microscopic GPS data in the area of Florence , 2009, 0912.4371.
[67] R. Kitchin,et al. The real-time city? Big data and smart urbanism , 2013, GeoJournal.
[68] Noordin Ahmad,et al. Smart City Components Architicture , 2009, 2009 International Conference on Computational Intelligence, Modelling and Simulation.
[69] J. Li,et al. Smart city and the applications , 2011, 2011 International Conference on Electronics, Communications and Control (ICECC).
[70] Jianquan Liu,et al. Co-occurrence prediction in a large location-based social network , 2013, Frontiers of Computer Science.
[71] Zhang Xiong,et al. Probability tree based passenger flow prediction and its application to the Beijing subway system , 2013, Frontiers of Computer Science.
[72] Theresa A. Pardo,et al. Conceptualizing smart city with dimensions of technology, people, and institutions , 2011, dg.o '11.
[73] Carlo Ratti,et al. Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome , 2011, IEEE Transactions on Intelligent Transportation Systems.
[74] Romano Fantacci,et al. The role of small cell technology in future Smart City applications , 2014, Trans. Emerg. Telecommun. Technol..
[75] Rudolf Giffinger,et al. Smart cities ranking: an effective instrument for the positioning of cities? , 2009, 5th International Conference Virtual City and Territory, Barcelona, 2,3 and 4 June 2009.
[76] N. Komninos,et al. Intelligent Cities: R and D offshoring, web 2.0 product development and globalization of innovation systems , 2009 .
[77] Mariacristina Roscia,et al. Definition methodology for the smart cities model , 2012 .
[79] Xiao Liang,et al. The scaling of human mobility by taxis is exponential , 2011, ArXiv.
[80] Jayant Kalagnanam,et al. Foundations for Smarter Cities , 2010, IBM J. Res. Dev..
[81] T. Ishida,et al. Digital cities : technologies, experiences, and future perspectives , 2000 .
[82] K. Davis,et al. The Urbanization of the Human Population , 1965 .
[83] G. Haughton. Developing sustainable urban development models , 1997 .
[84] P. Widmayer. Building digital metropolis: Chicago's future networks , 1999 .
[85] Amedeo D'Angiulli,et al. Megacities air pollution problems: Mexico City Metropolitan Area critical issues on the central nervous system pediatric impact. , 2015, Environmental research.
[86] Juan-Zi Li,et al. Generalized multipath planning model for ride-sharing systems , 2013, Frontiers of Computer Science.
[87] Enhong Chen,et al. Learning to detect subway arrivals for passengers on a train , 2014, Frontiers of Computer Science.
[88] Wang Bing-Hong,et al. Heavy-Tailed Statistics in Short-Message Communication , 2009 .
[89] J. Bram,et al. The Evolution of Commuting Patterns in the New York City Metro Area , 2005 .
[90] Liang Liu,et al. Uncovering cabdrivers' behavior patterns from their digital traces , 2010, Comput. Environ. Urban Syst..
[91] Cláudio T. Silva,et al. Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips , 2013, IEEE Transactions on Visualization and Computer Graphics.
[92] Sotiris Zygiaris. Smart City Reference Model: Assisting Planners to Conceptualize the Building of Smart City Innovation Ecosystems , 2012, Journal of the Knowledge Economy.
[93] Richard Hay,et al. Third World Urbanization , 1977 .
[94] Albert-László Barabási,et al. The origin of bursts and heavy tails in human dynamics , 2005, Nature.
[95] Marta C. González,et al. Understanding individual human mobility patterns , 2008, Nature.
[96] Ioannis Chatzigiannakis,et al. Developing an IoT Smart City framework , 2013, IISA 2013.
[97] Arkady B. Zaslavsky,et al. Sensing as a service model for smart cities supported by Internet of Things , 2013, Trans. Emerg. Telecommun. Technol..
[98] M. Herold,et al. Spatial Metrics and Image Texture for Mapping Urban Land Use , 2003 .
[99] William J. Emery,et al. A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification , 2009 .
[100] F. Canters,et al. Mapping form and function in urban areas: An approach based on urban metrics and continuous impervious surface data , 2011 .
[101] Neelakantan Pattathil Chandrasekharamenon,et al. Connectivity analysis of one-dimensional vehicular ad hoc networks in fading channels , 2012, EURASIP Journal on Wireless Communications and Networking.
[102] Theresa A. Pardo,et al. Smart city as urban innovation: focusing on management, policy, and context , 2011, ICEGOV '11.
[103] Rlh Chiu. China's rapid urbanization: is compact Shanghai sustainable? , 2007 .
[104] Anna Corinna Cagliano,et al. Current trends in Smart City initiatives: some stylised facts , 2014 .
[105] R. Kanter,et al. Informed and Interconnected: A Manifesto for Smarter Cities , 2009 .
[106] R. Kitchin. The real-time city? Big data and smart urbanism , 2013 .
[107] Bin Jiang,et al. Characterizing the human mobility pattern in a large street network. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[108] Richard Han,et al. Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond , 2010, Mobisys 2010.
[109] Gregory S. Yovanof,et al. An Architectural Framework and Enabling Wireless Technologies for Digital Cities & Intelligent Urban Environments , 2009, Wirel. Pers. Commun..
[110] Michael Batty,et al. Big data, smart cities and city planning , 2013, Dialogues in human geography.
[111] Chris Smith,et al. Avoiding the crowds: understanding Tube station congestion patterns from trip data , 2012, UrbComp '12.
[112] R. E. Hall,et al. VISION OF A SMART CITY , 2000 .
[113] Dominique Genoud,et al. Big Data in Smart Cities: From Poisson to Human Dynamics , 2014, 2014 28th International Conference on Advanced Information Networking and Applications Workshops.
[114] Xindong Wu,et al. Data mining with big data , 2014, IEEE Transactions on Knowledge and Data Engineering.
[115] Haitham Abu-Rub,et al. An Overview on Distributed Generation and Smart Grid Concepts and Technologies , 2014 .
[116] Alok Tiwari,et al. URBAN SCIENCES, BIG DATA AND INDIA'S SMART CITY INITIATIVE , 2014 .
[117] Astrid Gühnemann,et al. MONITORING TRAFFIC AND EMISSIONS BY FLOATING CAR DATA , 2004 .
[118] Sheng-Ming Wang,et al. User experience analysis on urban interaction and information service in smart city nodes , 2014, Chinese CHI '14.
[119] Randy H. Katz,et al. A view of cloud computing , 2010, CACM.
[120] Dongmei Chen,et al. Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case , 2004 .
[121] Chao Li,et al. Data Vitalization's Perspective Towards Smart City: A Reference Model for Data Service Oriented Architecture , 2014, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[122] J. Qi,et al. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization , 2009 .