Remote Sensing for Intelligent Transportation Systems in Smart Cities

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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