Smart City Gnosys
Smart city article details
| Title | Iot System For Monitoring And Managing Public Transport Data |
|---|---|
| ID_Doc | 33919 |
| Authors | Zakutynskyi I.; Sibruk L.; Kokarieva A. |
| Year | 2023 |
| Published | WSEAS Transactions on Systems, 22 |
| DOI | http://dx.doi.org/10.37394/23202.2023.22.25 |
| Abstract | Public transport has a significant role in the economy and modern city development. Today, public transport systems face many problems which should be solved, like real-Time monitoring, data management, passengers flow optimization and road accident prediction. The Internet of Things (IoT) is a promising technology for the development of the modern public transport management system. IoT systems combine a wide range of technologies, such as sensors, edge devices, and cloud computing. Also as well as many communication infrastructures which can be applied to develop robust and automated public transport systems. The transfer of information from devices to the cloud is the most important part of an IoT system. All devices should use network standards and protocols to allow physical objects to interact with each other and the cloud. Information transfer from IoT devices to the cloud is only possible if devices are securely connected to a communication network. Network protocols and standards are policies that comprise certain rules that define communication between two or more devices over the network. This article aims to evaluate the possibilities of using IoT for monitoring and managing public transport data in modern Ukrainian realities. Specifically, in this study, we analyze general industry protocols and standards that are used by IoT devices and meet requirements like bandwidth, latency, and power consumption. This work describes a specific device that transmits information from a transport unit to the cloud. Lastly, this paper proposes an IoT system architecture for the public transport data monitoring and management system. © 2023 World Scientific and Engineering Academy and Society. All Rights Reserved. |
| Author Keywords | Data analytics; Intelligent transport systems; IoT; M2M communication; Public Transport; Smart City |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
33993  | 0.923 | Lushi A.; Daas D.; Nadeem M. | Iot-Based Public Transport Management System | 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2022 (2022) |
| 51623 | 0.881 | Oladimeji D.; Gupta K.; Kose N.A.; Gundogan K.; Ge L.; Liang F. | Smart Transportation: An Overview Of Technologies And Applications | Sensors, 23, 8 (2023) |
| 1799 | 0.878 | El-Tawab S.; Arai I.; Salman A.; Brian Park B. | A Framework For Transit Monitoring System Using Iot Technology: Two Case Studies | 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020 (2020) |
| 4952 | 0.875 | Khan A.A.; Farooq M.U.; Hassan A. | A Study & Proposed Architecture For Large Scale Iot Networks In The Space Of Public Transportation | 3rd IEEE International Conference on Artificial Intelligence, ICAI 2023 (2023) |
| 43714 | 0.873 | Kuo Y.-H.; Leung J.M.Y.; Yan Y. | Public Transport For Smart Cities: Recent Innovations And Future Challenges | European Journal of Operational Research, 306, 3 (2023) |
| 33809 | 0.867 | Nagarjuna G.R.; Shashidhar R.; Puneeth S.B.; Arunakumari B.N. | Iot Enabled Smart Traffic System For Public And Emergency Mobility In Smart City | Proceedings of the 4th International Conference on IoT in Social, Mobile, Analytics and Cloud, ISMAC 2020 (2020) |
| 54642 | 0.864 | Bradley, E; Laraichi, O; Ryan, M; Tripathy, S; VanDerSchaaf, H; Daim, TU | Technology Management: Case Of The Internet Of Technologies And Smart City | RESEARCH AND DEVELOPMENT MANAGEMENT: TECHNOLOGY JOURNEY THROUGH ANALYSIS, FORECASTING AND DECISION MAKING (2017) |
| 34016 | 0.862 | Bhattacharya S.; Banerjee S.; Chakraborty C. | Iot-Based Smart Transportation System Under Real-Time Environment | Big Data-Enabled Internet of Things (2020) |
| 32177 | 0.862 | Bhalodiya D.; Sarda J.; Garg D.; Yang T.; Rathore R.S. | Integration Of Iot And Machine Learning Models For Enhancing Efficiency In Smart Public Transportation Systems | Lecture Notes in Networks and Systems, 1293 (2025) |
| 33122 | 0.861 | Derawi M.; Dalveren Y.; Cheikh F.A. | Internet-Of-Things-Based Smart Transportation Systems For Safer Roads | IEEE World Forum on Internet of Things, WF-IoT 2020 - Symposium Proceedings (2020) |