• Heterogeneous Crowdsourced Data Co-mining for Smart Cities

  • Scope

          Advances in computing, communications, storage, and sensing technologies have enabled to digitalize and record citizens’ traces while interacting with cyber-physical spaces. We have entered an era where such data are becoming increasingly big and easily available. These data are heterogeneous, contributed by the crowd in the cities, coming from different sources and with diverse formats. Broadly, such data are generated mainly from three sources: Internet and Web applications, sensor networks, and mobile/wearable devices. The scale and richness of the multimodal, mixed data sources present us an opportunity to compile the data into a comprehensive picture of individual’s daily life facets, transform our understanding of our lives, organizations and societies, and enable completely innovative urban services for smart cities, including public transportation, public safety, city resource management, environment monitoring, and social interaction assistance. However, the raw data cannot be used directly, and the emerging analytical techniques, including big data analytics, text and image analytics, network and mobile analytics need to be studied and applied, according to the specific applications. In the big data era, novel architectures, methodologies, and techniques must be also developed, in order to bring citizens closer to the vision of a smart city (i.e. improving the living quality/safety of citizens, sustainable city development, and so on).


    We invite authors from academia and industry to submit their original research as well as review articles to present latest progresses for current development or future goals in this field. In line with applying novel data analytics for smart cities, topics of interest include, but are not limited to:

    1.Human mobility behaviours understanding, modeling, predication and supporting applications

    2.Advanced multi-sourced data co-mining and fusion techniques, and supporting applications

    3.Advanced data integration, management, retrieval, and visualization techniques

    4.Advanced information sharing techniques

    5.Advanced and context-aware route planning, such as customize driving/travel route recommendation

    6.Participant selection in Crowdsensing

    7.Urban infrastructure management, designing, and planning

    8.Flaw urban planning problem identification and possible solutions

    9.Innovative urban services and applications

    10.Security and privacy issues and possible solutions in data transmission, processing, etc.

  • Organizers

    Chao Chen, Chongqing University, China,ivanchao.chen@gmail.com

    ZhangBing Zhou, China University of Geosciences (Beijing), China, & TELECOM SudParis, France,zhangbing.zhou@gmail.com

    Bin Guo, Northwestern Polytechincal University, China,guob@nwpu.edu.cn

    Zhu Wang Northwestern Polytechincal University, China,wangzhu@nwpu.edu.cn

  • PC Members

    Dingqi Yang

    University of Fribourg, Switzerland, yangdingqi@gmail.com

    Vaskar Raychoudhury

    Indian Institute of technology Roorkee, India, vaskafec@iitr.ac.in

    Daqiang Zhang

    Tongji University, China, dqzhang@ieee.org

    Zhiyong Yu

    Fuzhou University, China, yuzhiy@gmail.com

    Haoyi Xiong

    University of Virginia, USA, xhyccc@gmail.com

    Leye Wang

    Institut Mines-Telecom/Telecom SudParis, France, wangleye@gmail.com

    Yasha Wang

    Peking University, China, wangyasha@pku.edu.cn

    Jiangtao Wang

    Peking University, China, jiangtao.pku@gmail.com

    Xiao Han

    Shanghai University of Finance and Economics, China, xiaohan@mail.shufe.edu.cn

    Kai Liu

    Chongqing University, China, liukai0807@gmail.com

    Shenle Pan

    Mines ParisTech, France, shenle.pan@mines-paristech.fr

  • Important Dates

    Paper Submission Deadline: 25 April 2016

    Notification Date: 25 May 2016

    Final Manuscript Due: 10 June 2016

    Conference Date: 18 July 2016

  • Submission Guidelines

    Authors are invited to submit an unpublished original work that must not have been submitted to an other conference, workshop or journal. All papers will be peer-reviewed by members of the Program Committee of the Workshop and be evaluated for originality, significance of the contribution, technical correctness and presentation. The maximum length of workshop Papers is limited to 8 pages, including all figures, tables, and references. However, up to 2 extra pages may be purchased at $50 (US dollars) per extra page. 
    Papers need to be prepared according to the IEEE CPS format via IEEE Manuscript Templates for Conference Proceedings. 
    Papers of a workshop of IEEE ATC 2016, must be submitted through the following specific EasyChair submission website , specifying the Workshop where you want to submit your paper so that it can be reviewed by the appropriate Workshop Program Committee and its reviewers.