Autors: Mecheva, T. A., Kakanakov, N. R.
Title: Cloud based Intelligent Transportation System architecture
Keywords: Wireless communication , Market research , Real-time systems , Sensor systems , Planning , Vehicle dynamics , Informatics

Abstract: Intelligent Transportation System is influenced by the global trends - introduction of more and more sensors and monitoring systems both in the roadway and in the vehicles, transmission of information via wired and wireless communication, high levels of automatization, and use of Cloud services. The article presents a conceptual Cloud based architecture for Intelligent Transportation System. It consists of two layers – Cloud and Edge and propose a dynamic application planning depending on current state of the system and application requirements. The main distinction between the two layers is that the Cloud includes an external service provider, while the Еdge is custom development and completely meet the requirements for cybersecurity and real-time operation in ITS. Applications are classified according to their time frame and hard or soft real-time requirements.



    2021 International Conference Automatics and Informatics (ICAI), 2021, Bulgaria, DOI 10.1109/ICAI52893.2021.9639678

    Цитирания (Citation/s):
    1. Lishev, S.N., Pavlova, P.E., Spasov, G.V., Petrova, G.I.m "Mobile Low-cost Air Pollution Data Logger, " 31st International Scientific Conference Electronics, ET 2022 - Proceedings, ISBN: 9781665498784, DOI: 10.1109/ET55967.2022.9920209. - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus