Models and Methods of Operational Control and Remote Monitoring of Mobile Platforms

Keywords: Keywords: mobile platforms, operational control, telemetry, IoT, routing.

Abstract

Abstract. The article considers the organizational components of models of operational management and remote control of mobile platforms used in the provision of public utilities and logistics operations. The main attention is paid to the construction of systems for collecting, transmitting and analyzing telemetric data generated during the operation of containers for solid waste equipped with sensor modules, as well as mobile objects - in particular, garbage trucks equipped with RFID readers and GPS modules. It is shown that the effectiveness of management directly depends on the ability of the system to integrate data from disparate sources, respond in a timely manner to changes in external conditions and ensure transparency of processes for local governments, operators and consumers.

The work analyzes existing approaches to organizing waste collection and logistics of mobile platform routes, paying attention to their limitations in a dynamic urban environment. The use of adaptive models of operational management that take into account multifactorial dependencies - from the traffic situation and technical parameters of transport to changes in the load schedule is proposed. A special place is given to the use of mathematical models such as the Vehicle Routing Problem (VRP) and its dynamic modifications, as well as agent-oriented modeling methods, which allow describing the interaction of a large number of objects in the system.

It is shown that the implementation of intelligent data analysis technologies, including elements of artificial intelligence, contributes to the optimization of real-time solutions and ensures the sustainable development of the municipal sector. Particular attention is paid to the prospects for integrating such systems into the Smart City concept, which allows achieving a synergistic effect through the combination of transport, energy and environmental infrastructure of the city. The conclusion is made about the need for a comprehensive approach to the organizational aspects of mobile platform management, which allows increasing the efficiency, environmental effectiveness and economic feasibility of service processes in cities.

References

ISO/IEC. ISO/IEC 30141:2022 – Internet of Things (IoT) - Reference Architecture [Електронний ресурс]. – 2-е вид. – Geneva: International Organization for Standardization, 2022. – Режим доступу: https://www.iso.org/obp/ui/en/#iso:std:iso-iec:30141:ed-2:v1:en.

ISO/IEC. ISO/IEC 27001:2013 – Infor-mation security management systems - Require-ments [Електронний ресурс]. – Geneva: Interna-tional Organization for Standardization, 2015. – Режим доступу: https://www.iso.org/standard/54534.html.

Minerva R., Biru A., Rotondi D. Towards a Definition of the Internet of Things [Електронний ресурс]. – IEEE Internet Initiative, 2015. – Режим доступу: https://iot.ieee.org/images/files/pdf/IEEE_IoT_Towards_Definition_Internet_of_Things_Revision1_27MAY15.pdf.

Whitmore A., Agarwal A., Xu L. D. The Internet of Things – A survey of topics and trends // Information Systems Frontiers. – 2015. – Vol. 17, № 2. – P. 261–274.doi:10.1007/s10796-014-9489-2.

– Режим доступу: https://doi.org/10.1007/s10796-014-9489-2

Farahani M., Firouzi F., Lue J. Intelligent Fleet Management Using IoT and AI: A Survey // Sensors. – 2020. – Vol. 20, № 3. – Article 645.doi:10.3390/s20030645. – Режим доступу: https://doi.org/10.3390/s20030645

Potdar P. R., Parikh S. M. IoT and Artificial Intelligence Enabled Framework for Smart Fleet Management [Електронний ресурс] // OPSEARCH. – Springer, 2025.doi:10.1007/s12597-025-00961-7. – Режим доступу: https://link.springer.com/article/10.1007/s12597-025-00961-7.

Vidyalakshmi R., Surya M. K., Sabari S., et al. IoT-Enabled Smart Waste Management System with Real-Time GPS Monitoring and User Notification [Електронний ресурс] // IEEE Conference on Trends in Computing and Technology, 2025. – Режим доступу: https://ieeexplore.ieee.org/document/11013255.

Shaikh M. S., Ali S. I. Smart Waste Man-agement via Data Analytics, IoT, and AI for Sus-tainable Urban Solutions [Електронний ресурс] // In: VANETs and Blockchain for Urban Applications. – IGI Global, 2025. – Режим доступу:

https://www.igi-global.com/chapter/smart-waste-management-by-integrating-data-analytics-iot-and-ai-for-sustainable-urban-solutions/377275.

Sutradhar K., Venkatesh R., Subudhi P. AI-Facilitated Fleet Management and Routing Optimization [Електронний ресурс] // In: Computational Learning and IoT in Smart Transport. – Springer, 2025.doi:10.1007/978-3-031-87627-1_8. – Режим доступу: https://link.springer.com/chapter

/10.1007/978-3-031-87627-1_8.

Chaganti K. R., Elicherla S. L. R., Kavitha T. Deep Reinforcement Learning for Energy Efficiency Optimization using Autonomous Waste Management in Smart Cities [Електронний ресурс] // IEEE Conf. on Trends in Computing and Intelligent Systems, 2025. – Режим доступу: https://ieeexplore.ieee.org/document/10988394.

Zhang Y., et al. Optimization in Smart Cities [Електронний ресурс] // IEEE Communications, 2018. – Режим доступу: https://www.igi-global.com/chapter/smart-waste-management-by-integrating-data-analytics-iot-and-ai-for-sustainable-urban-solutions/377275.

Sharma S. K., Hans R. From Code to Sustainability: The Impact of Computer Science in Advancing Sustainable Development [Електронний ресурс] // In: Role of Science and Technology for Sustainable Development. – Springer, 2025. doi:10.1007/978-981-97-5177-8_30.– Режим доступу: https://link.springer.com/chapter/10.1007/978-981-97-5177-8_30.

Elasri H. A., Khomssi D., Hassani S. A. Optimizing the Vehicle Routing Problem in Solid Waste Management Using Artificial Intelligence [Електронний ресурс] // In: Artificial Intelligence and Smart Cities. – Springer, 2025.doi:10.1007/978-3-031-90921-4_36. – Режим доступу: https://link.springer.com/chapter/10.1007/978-3-031-90921-4_36.

Sunarto S., Sulistyaningsih T., Kulsum U. Smart Waste Management in IoT-Based Urban Waste Management in Surabaya City [Електронний ресурс] // BIS-IT Conference, 2024. – Режим доступу: https://unimma.press/conference/index.php/bistyc/article/download/199/178.

Sutradhar K., Venkatesh R., Subudhi P. Road Transport in the New Era Using Artificial Intelligence: AI-Facilitated Fleet Management and Routing Optimization [Електронний ресурс] // In: Computational Learning and IoT in Smart Transport.

Times of India. Tippers in MNAC to have GPS tags [Електронний ресурс]. – 24 March 2024. – Режим доступу:

https://timesofindia.indiatimes.com/city/ranchi/tippers-in-mnac-to-have-gps-tags/articleshow

/121915631.cms.

Open API Initiative. Open API Specification [Електронний ресурс]. – 2021. – Режим доступу: https://www.openapis.org.

Abbas F., Nomi K., Jack W. Aluminum Composite Panels (ACPs) in Modern Architecture: Integrating AI and IPD for Safe and Sustainable Urban Infrastructure [Електронний ресурс] // Research Gate, 2025. – Режим доступу:

https://www.researchgate.net/publication/392709347_Aluminum_Composite_Panels_ACPs_in_Modern_Architecture_Integrating_AI_and_IPD_for_Safe_

and_Sustainable_Urban_Infrastructure_in_the_United_States.

Lynn T., Rosati P., Kennedy J. From Concrete Jungles to Smart Cities and Digital Towns: Deploying Digital Technologies for Environmental Sustainability [Електронний ресурс] // OAPEN, 2024. – Режим доступу:

https://library.oapen.org/bitstream/handle/20.500.12657/93236/1/978-3-031-61749-2.pdf#page=100.

Kumar P., Channi H. K. Planning and building digital twins for smart cities [Електронний ресурс] // Elsevier, 2025. – Режим доступу:

https://www.sciencedirect.com/science/article/abs/pii/B9780443288845000105.

Qian Y., Siau K. L. IoT in Sustainability and IoT in the AI and Metaverse Age [Електронний ресурс] // IEEE Internet of Things Magazine, 2025. – Режим доступу: https://ieeexplore.ieee.org

/abstract/document/10980484.

Published
2025-12-31
Section
Computer Systems, Networks and their Components