A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 13186
Dr. Teresa Pamuła
Dr. Teresa Pamuła
Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 40-019 Katowice, Poland
Interests: neural network; deep learning; traffic flow prediction; object classifier; road traffic conditions classification; energy estimation
Dr. Wiesław Pamuła
Dr. Wiesław Pamuła
Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 40-019 Katowice, Poland
Interests: road traffic control systems; monitoring of road traffic using image processing methods; development of remote sensing devices using IoT technology
Prof. Dr. Zhenwei Shi
Prof. Dr. Zhenwei Shi
Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China
Interests: remote sensing image processing and analysis; computer vision; pattern recognition; machine learning
Special Issues, Collections and Topics in MDPI journals
The ongoing process of urban development is exacerbating the problems related to controlling and managing traffic in road networks. The basis for an efficient solution to these problems is the accurate and timely collection of traffic data. The creation of reliable traffic data banks that combine data from many sources and work in real time is of utmost importance for urban administration. The advent of sensors using IoT technology and the application of AI to fuse diverse data from many sources has inspired new approaches to finding a solution to the problem of traffic data collection and monitoring. The use of new technologies, and in particular methods involving artificial intelligence, such as deep learning, allows for large amounts of data to be processed quickly and creates new possibilities for their analysis.
This Special Issue focuses on reviewing advancements in the methods and technologies used to monitor traffic in cities. We welcome submissions that present the results of studies on the application of new technologies for remote sensing and the fusion of traffic data from diverse sources.
Original research papers or review manuscripts that focus on the following areas are invited:
Dr. Teresa Pamuła
Dr. Wiesław Pamuła
Prof. Dr. Zhenwei Shi
Guest Editors
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. Remote Sensing 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 2700 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.
Further information on MDPI's Special Issue polices can be found here.
