Smart City Gnosys
Smart city article details
| Title | A Digital Twin Approach To Advancing River Emergency Response Systems In Smart Cities |
|---|---|
| ID_Doc | 1476 |
| Authors | Zhu Y.; Pan X.; Mohammadi N.; Taylor J.E. |
| Year | 2025 |
| Published | Proceedings of the Annual Hawaii International Conference on System Sciences |
| DOI | http://dx.doi.org/10.24251/hicss.2025.166 |
| Abstract | Drowning incidents and floods in river cities have become a significant public safety concern worldwide. These incidents result in numerous deaths and injuries, highlighting the urgent need for effective monitoring and rescue systems. Traditional safety detection systems for bodies of water are primarily designed for controlled indoor environments, such as indoor pools, where conditions are stable and predictable; relying on sensors and wearable devices, which are not practical for the varied and challenging conditions of outdoor environments (e.g., distance, wider monitoring areas, and environmental factors such as waves). In response to this challenge, we propose a river emergency response system based on a digital twin model, supported by a human detection model, a water level prediction model, and related algorithms. This piloted system employs a single overhead camera as the primary hardware sensor for continuous real-time safety monitoring. We focus on the Chattahoochee River in the Columbus-Phoenix City area, where drowning incidents have surged in recent years. This system aims to improve rescue response time by generating multi-level of danger alerts based on varying real-time conditions. © 2025 IEEE Computer Society. All rights reserved. |
| Author Keywords | Digital Twins; Drowning Detection; Real-Time River Safety Monitoring; Smart City; You Only Look Once (YOLO) |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
18466  | 0.869 | Gopinath R.; Anupama H.S.; Pradhan H.; Dennis K.; Regmi P.; Aishwarya M. | Design And Development Of Ai-Based Low-Cost Effective Prototype For Early-Warning And Monitoring Of Urban Flash Floods In Smart Cities | Lecture Notes in Civil Engineering, 413 LNCE (2025) |
| 49723 | 0.861 | Santos R.; Ochoa J.M.; Ochoa S.F.; Chesñevar C. | Smart Cities With Digital Twin Systems For Disaster Management | Digital Twin and Blockchain for Sensor Networks in Smart Cities (2025) |
| 19702 | 0.859 | Jang B.-J.; Jung I. | Development Of High-Precision Urban Flood-Monitoring Technology For Sustainable Smart Cities | Sensors, 23, 22 (2023) |
| 9792 | 0.859 | Sharifi A.; Tarlani Beris A.; Sharifzadeh Javidi A.; Nouri M.; Gholizadeh Lonbar A.; Ahmadi M. | Application Of Artificial Intelligence In Digital Twin Models For Stormwater Infrastructure Systems In Smart Cities | Advanced Engineering Informatics, 61 (2024) |
| 51432 | 0.857 | Josipovic N.; Viergutz K. | Smart Solutions For Municipal Flood Management: Overview Of Literature, Trends, And Applications In German Cities | Smart Cities, 6, 2 (2023) |
| 11643 | 0.856 | Thakur S. | Based On Digital Twin Technology, An Early Warning System And Strategy For Predicting Urban Waterlogging | Simulation Techniques of Digital Twin in Real-Time Applications: Design Modeling and Implementation (2024) |