Special Issue "Big Data, Information and AI for Smart Urban"
Deadline for manuscript submissions: 31 December 2022 | Viewed by 1827
Interests: artificial intelligence; data mining; urban computing; intelligent system, especially in intelligent surveillance and information system designs; mobility and spatio-temporal data mining
The smart urban issue is an interdisciplinary field, which requires the cooperation of different technologies including IoT, machine learning and deep learning, to support cities in improving the performance of transportation, energy and health, and reaching the required sustainability levels. Modern cities generate large amounts of data from mobile phones, sensors, satellites and other digital devices every day, which contain rich information about the city and its citizens. These heterogeneous spatio-temporal urban big data, including but not limited to human flow, traffic volume, vehicle trajectories, accident records, and weather quality observation, provide intelligent solutions for alleviating traffic congestion， responding to public health problems and many other urban problems. However, it is challenging to efficiently recognize, analyze, curate, and manage the patterns and needs from urban big data. The question of how to effectively mine big data to provide efficient information for smart urban requires further investigation. The development of deep learning, including domain adaption, self/semi-supervised learning, few-shot learning, and interpretable learning, enables approaches that mine urban big data from small samples and can be generalized and adapted across domains.
The goal of this Special Issue is to feature the most recent developments and state-of-the-art multidisciplinary research across the areas of machine learning, deep learning, civil and environmental engineering, transportation science, and many others, focusing on technologies, visionary ideas, case studies, and intelligent systems to learn, recognize, manage and analyze big data to provide rich, useful information to build smarter cities.
We invite original high-quality research contributions that collect, process, manage, mine, analyze, and understand various big data to improve urban intelligence. Topics of interest include (but are not limited to) the following issues:
- Big data, big data collecting and IoT frameworks for smart urban cities;
- Urban big data cleaning and preparation;
- Urban human mobility pattern recognition and analysis;
- Vehicle trajectories’ pattern recognition and analysis;
- Traffic congestion relief and analysis;
- New evaluation and assessment idea and methods for urban big data;
- Public health, environmental health analysis from big data for urban areas;
- Social computing and networks, social behavior modeling for smart urban areas.
Prof. Dr. Xuan Song
Dr. Xiaodan Shi
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 submissions that pass pre-check are 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. Sustainability is an international peer-reviewed open access semimonthly 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 2000 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.
- smart cities
- spatio-temporal data
- deep learning
- urban intelligence
- urban computing
- machine learning
- big data analysis