Remote Sensing for Intelligent Transportation Systems in Smart Cities
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: closed (15 April 2023) | Viewed by 8364
Special Issue Editors
Interests: deep learning; medical image analysis; healthcare applications; secret sharing scheme & digital image security
Special Issues, Collections and Topics in MDPI journals
Interests: AI; machine learning; medical image processing
Special Issues, Collections and Topics in MDPI journals
Interests: MAC; routing protocols for next-generation wireless networks; wireless sensor networks; cognitive radio networks; RFID systems; IoT; smart city; deep learning; digital convergence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, the number of research activities related to the utilization of remote sensing technologies towards their implementation in transportation system has increased tremendously. Transportation systems have become a fundamental basis for the economic growth of all nations. Nevertheless, many cities around the world are facing an uncontrolled growth in traffic volume, causing serious problems, such as delays, traffic jams, higher fuel prices, increased CO2 emissions, accidents, emergencies, and the degradation of the quality of life in modern society. Advances in information and communication technologies (ICT) in areas such as hardware, software, and communications have created new opportunities for developing a sustainable, intelligent transportation system. The integration of ICT with the transportation infrastructure will enable a better, safer traveling experience and migration to intelligent transportation systems (ITS), which focus on four fundamental principles: sustainability, integration, safety, and responsiveness. The success of ITS largely depends on the platform used to access, collect, and process accurate data from the environment. Remote sensing (both terrestrial and satellite) has been revealed to be a suitable approach for effectively collecting data on a large scale, with an accuracy level that satisfies the ITS demand. Different advanced technologies have enabled automated modeling, and the interpretation of the data is an interesting topic of remote sensing-based ITS.
Dr. Shankar Kathiresan
Prof. Dr. Seifedine Kadry
Dr. Gyanendra Prasad Joshi
Guest Editors
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Keywords
- application of advanced technologies in ITS
- artificial intelligence for ITS in remote sensing
- automatic onboard processing techniques for ITS
- communication technologies for ITS in remote sensing
- networking resource management for ITS in remote sensing
- remote sensing based ITS for smart cities
- research on intelligence computing models for ITS
- security and privacy in ITS
- sensing technologies for ITS in remote sensing
- smart decision support systems for ITS
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