Embedded IoT platform for remote traffic control in smart city IoT infrastructure
dc.citation.epage | 38 | |
dc.citation.issue | 3 | |
dc.citation.journalTitle | Вимірювальна техніка та метрологія | |
dc.citation.spage | 31 | |
dc.contributor.affiliation | The National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” | |
dc.contributor.author | Nikolskiy, Serhiy | |
dc.contributor.author | Klymenko, Iryna | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
dc.date.accessioned | 2024-03-11T09:15:14Z | |
dc.date.available | 2024-03-11T09:15:14Z | |
dc.date.created | 2023-02-28 | |
dc.date.issued | 2023-02-28 | |
dc.description.abstract | A justified hybrid multilevel approach to IoT infrastructure implementation is set to facilitate the achievement of a scalable IoT (Internet of Things) infrastructure, incorporating integration into cloud technologies and services. The localization of hardware-software traffic management means at the lower level of the IoT infrastructure, close to data collection devices, ensures the generation of control influences in real-time, and relieves communication channels at the higher levels of the IoT infrastructure architecture. A technology for generating control influences for remote traffic management is proposed, which is based on the developed AT command system for deploying a web server and generating web pages using the capabilities of the embedded IoT platform on modern microcontrollers. The proposed technology allows for the formation of control influences in real-time, in an easily comprehensible textual format, using a web interface in the local domain of the IoT infrastructure. It also enables the visualization of information on remote displays and information boards, as well as on displays integrated into automotive equipment. The proposed technology can be used to inform road traffic participants about critical situations and can be embedded in smart traffic lights within remote traffic management systems or used to implement virtual traffic lights. | |
dc.format.extent | 31-38 | |
dc.format.pages | 8 | |
dc.identifier.citation | Nikolskiy S. Embedded IoT platform for remote traffic control in smart city IoT infrastructure / Serhiy Nikolskiy, Iryna Klymenko // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 3. — P. 31–38. | |
dc.identifier.citationen | Nikolskiy S. Embedded IoT platform for remote traffic control in smart city IoT infrastructure / Serhiy Nikolskiy, Iryna Klymenko // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 3. — P. 31–38. | |
dc.identifier.doi | doi.org/10.23939/istcmtm2023.03.031 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/61441 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Вимірювальна техніка та метрологія, 3 (84), 2023 | |
dc.relation.ispartof | Measuring Equipment and Metrology, 3 (84), 2023 | |
dc.relation.references | [1] I. Klymenko, A. Gaidai, S. Nikolskyi, V. Tkachenko, “The Architectural Concept Of The Monitoring System On The Basis On A Neuron Module IoT Data Analytics”, Adaptive systems of automatic control, 111–123, 2022. DOI: 10.20535/1560-8956.41.2022.271355. | |
dc.relation.references | [2] Lim C., Kim K.-J., Maglio P., “Smart cities with big data: Reference models, challenges, and considerations”, Cities, 86–99, 2018. DOI: 10.1016/j.cities.2018.04.011. | |
dc.relation.references | [3] A. Bagwari, J. Bagwari, T. Anand, B. Chaurasia, R.P.S. Gangwar, M. Kamrul Hasan, “The Role of IoT in Smart Technologies”, 2022. DOI: 10.1201/9781003045809-6. | |
dc.relation.references | [4] F. Al-Turjman, A. Malekloo, “Smart parking in IoTenabled cities: A survey”, Sustainable Cities and Society, 2019. DOI: 10.1016/j.scs.2019.101608. | |
dc.relation.references | [5] A. Hilmani, A. Maizate, L. Hassouni “Automated Real-Time Intelligent Traffic Control System for Smart Cities Using Wireless Sensor Networks”, Wireless Communications and Mobile Computing, 2020. DOI: 10.1155/2020/8841893. | |
dc.relation.references | [6] V. Miz, V. Hahanov, “Smart traffic light in terms of the Cognitive road traffic management system (CTMS) based on the Internet of Things”, Proceedings of IEEE East-West Design & Test Symposium (EWDTS 2014), 2014. DOI: 10.1109/EWDTS.2014.7027102. | |
dc.relation.references | [7] G. Oguntala, R. Abd-Alhameed, S. Jones, J. Noras, M. Patwary, J. Rodriguez, “Indoor location identification technologies for real-time IoT-based applications: An inclusive survey”, Computer Science Review, 2018, 55–79. DOI: 10.1016/j.cosrev.2018.09.001. | |
dc.relation.references | [8] M. Alias, D. Dzaki, N. Din, S. Deros, R. Passarella, A. Chaai, “IoT-Based Transmission Tower Monitoring Communications and Visualization Platform”, 2022 IEEE Symposium on Future Telecommunication Technologies (SOFTT), 2022. DOI: 10.1109/SOFTT56880.2022.10010 295. | |
dc.relation.references | [9] A. Ali, M. Khan, N. Bolong, K. Maarof, S. Tanalol, “Conceptual and design framework for smart stormwater filtration”, 2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2020. DOI: 10.1109/IICAIET49801.2020.9257828. | |
dc.relation.references | [10] Z. Tengfei, L. Qinxiao,M. Fumin, “Remote control system of smart appliances based on wireless sensor network”, 25th Chinese Control and Decision Conference (CCDC), 3704–3709, 2013. DOI: 10.1109/ccdc.2013.6561592. | |
dc.relation.references | [11] L. Vukonić, M. Tomić, “Ultrasonic Sensors in IoT Applications”, 45th Jubilee International Convention on Information, 415–420, 2022. DOI: 10.23919/MIPRO55190.2022. | |
dc.relation.references | [12] A. Hilmani, A. Maizate, L. Hassouni, “Automated Real-Time Intelligent Traffic Control System for Smart Cities Using Wireless Sensor Networks”, Wireless Communications and Mobile Computing, 2020. DOI: 10.1155/2020/8841893. | |
dc.relation.references | [13] I. Muraviov, V. Taraniuk, I. Klymenko, “Making an ІoT development platform from a simple microcontroller demonstration board”, Information, Computing, and Intelligent systems, 68–76, 2020. DOI: 10.20535/2708-4930.1.2020.216065. | |
dc.relation.referencesen | [1] I. Klymenko, A. Gaidai, S. Nikolskyi, V. Tkachenko, "The Architectural Concept Of The Monitoring System On The Basis On A Neuron Module IoT Data Analytics", Adaptive systems of automatic control, 111–123, 2022. DOI: 10.20535/1560-8956.41.2022.271355. | |
dc.relation.referencesen | [2] Lim C., Kim K.-J., Maglio P., "Smart cities with big data: Reference models, challenges, and considerations", Cities, 86–99, 2018. DOI: 10.1016/j.cities.2018.04.011. | |
dc.relation.referencesen | [3] A. Bagwari, J. Bagwari, T. Anand, B. Chaurasia, R.P.S. Gangwar, M. Kamrul Hasan, "The Role of IoT in Smart Technologies", 2022. DOI: 10.1201/9781003045809-6. | |
dc.relation.referencesen | [4] F. Al-Turjman, A. Malekloo, "Smart parking in IoTenabled cities: A survey", Sustainable Cities and Society, 2019. DOI: 10.1016/j.scs.2019.101608. | |
dc.relation.referencesen | [5] A. Hilmani, A. Maizate, L. Hassouni "Automated Real-Time Intelligent Traffic Control System for Smart Cities Using Wireless Sensor Networks", Wireless Communications and Mobile Computing, 2020. DOI: 10.1155/2020/8841893. | |
dc.relation.referencesen | [6] V. Miz, V. Hahanov, "Smart traffic light in terms of the Cognitive road traffic management system (CTMS) based on the Internet of Things", Proceedings of IEEE East-West Design & Test Symposium (EWDTS 2014), 2014. DOI: 10.1109/EWDTS.2014.7027102. | |
dc.relation.referencesen | [7] G. Oguntala, R. Abd-Alhameed, S. Jones, J. Noras, M. Patwary, J. Rodriguez, "Indoor location identification technologies for real-time IoT-based applications: An inclusive survey", Computer Science Review, 2018, 55–79. DOI: 10.1016/j.cosrev.2018.09.001. | |
dc.relation.referencesen | [8] M. Alias, D. Dzaki, N. Din, S. Deros, R. Passarella, A. Chaai, "IoT-Based Transmission Tower Monitoring Communications and Visualization Platform", 2022 IEEE Symposium on Future Telecommunication Technologies (SOFTT), 2022. DOI: 10.1109/SOFTT56880.2022.10010 295. | |
dc.relation.referencesen | [9] A. Ali, M. Khan, N. Bolong, K. Maarof, S. Tanalol, "Conceptual and design framework for smart stormwater filtration", 2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2020. DOI: 10.1109/IICAIET49801.2020.9257828. | |
dc.relation.referencesen | [10] Z. Tengfei, L. Qinxiao,M. Fumin, "Remote control system of smart appliances based on wireless sensor network", 25th Chinese Control and Decision Conference (CCDC), 3704–3709, 2013. DOI: 10.1109/ccdc.2013.6561592. | |
dc.relation.referencesen | [11] L. Vukonić, M. Tomić, "Ultrasonic Sensors in IoT Applications", 45th Jubilee International Convention on Information, 415–420, 2022. DOI: 10.23919/MIPRO55190.2022. | |
dc.relation.referencesen | [12] A. Hilmani, A. Maizate, L. Hassouni, "Automated Real-Time Intelligent Traffic Control System for Smart Cities Using Wireless Sensor Networks", Wireless Communications and Mobile Computing, 2020. DOI: 10.1155/2020/8841893. | |
dc.relation.referencesen | [13] I. Muraviov, V. Taraniuk, I. Klymenko, "Making an IoT development platform from a simple microcontroller demonstration board", Information, Computing, and Intelligent systems, 68–76, 2020. DOI: 10.20535/2708-4930.1.2020.216065. | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2023 | |
dc.subject | Embedded systems | |
dc.subject | Internet of Things | |
dc.subject | Edge Computing | |
dc.subject | Microcontroller Units | |
dc.subject | Remote control | |
dc.subject | Traffic control | |
dc.subject | Smart City | |
dc.title | Embedded IoT platform for remote traffic control in smart city IoT infrastructure | |
dc.type | Article |
Files
License bundle
1 - 1 of 1