Special Issue "Big Data-Driven Intelligent Services in Smart Cities"
A special issue of Smart Cities (ISSN 2624-6511).
Deadline for manuscript submissions: 30 September 2019.
Prof. Lee D. Han
Civil & Environmental Engineering, University of Tennessee, 319 John. D. Tickle Building, Knoxville, TN, 37996-2313, USA
Interests: multisource sensor data processing and mining; accuracy and precision of big data; real-time non-recurrent event detection and management; management of connected and automated vehicles; mass evacuation operations; parallel simulation of microscopic traffic network; traffic flow theory; big data-based human behavior analysis and modification; dynamic traffic modeling and simulations
Smart Cities initiatives have become a focal point of research and development activities for many fields, including information technology, urban planning, economics, geography, and transportation. While headway has been made in physical and virtual space infrastructure and big data analytics associated with information and sensing, significant challenges are still ahead with regards to turning all the informatics into real-time data-driven services for the human at the center, which is the purpose of the Smart City. What would “smart” and “intelligent” mean to the residents of Smart Cities and how could they benefit, significantly, from living in these cities of tomorrow?
As ubiquitous sensing and big data analytics cut across various fields, knowledge can be distilled to understand daily activities and anticipate needs at collective and individual levels. Based on what we have learned from real-time and location-specific multisource data, citizens can be served responsively and proactively to address their needs in work, school, health care, recreation, mobility, personal security, entertainment, etc. Responsiveness at this level will require major breakthroughs in data intelligence theory, behavior sensing methodology, human service framework, and so on.
We welcome papers for this Special Issue that present the work and results from cross-cutting research. The work should involve fields including, but not limited to, information technology, planning, logistics, geography, and transportation. The content and scope of the issue will be on innovating and emerging technologies that center on humans and human needs. We expect that the papers selected for this Special Issue will provide valuable and meaningful contributions toward establishing a smart services framework in theory and methodology.
Prof. Zhixiang Fang
Prof. Lee D. Han
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Smart Cities is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Data-driven intelligence theory for city scenarios
- Intelligent multisource data integration for information process
- Smart sensing of city
- dynamics and functions
- Smart, portable, and emerging services for city life
- Visual analytic algorithms for smart city monitoring
- Smart logistics or deliveries in city