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@article{191463,
        author = {Yogita R. Thakare and Aher Samruddhi Sachin and Mandale Dipika Ramesh and Magar Payal Yogesh and Kapse Puja Sanjay},
        title = {IoT-Based Bridge Capacity Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {6998-7002},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191463},
        abstract = {Pedestrian (walking) bridges play a vital role in urban and rural transportation by providing safe passage for people across roads, rivers, and railways. However, excessive pedestrian load, uncontrolled crowd movement, and lack of real-time monitoring can lead to structural stress and safety risks. 
Traditional inspection methods are periodic and do not provide continuous information about bridge capacity usage. Therefore, there is a need for an intelligent system that can monitor pedestrian load and structural behavior in real time to ensure safety and efficient management
This research presents an IoT-Based Bridge Capacity Management System specifically designed for walking bridges. The proposed system uses a network of sensors such as load cells, strain gauges, and accelerometers to measure pedestrian load, vibration, and stress on the bridge structure. Environmental sensors are also incorporated to monitor external factors such as temperature and humidity, which may affect structural performance. The collected sensor data is transmitted wirelessly to a central processing unit using IoT communication technologies.
The received data is analyzed in real time using cloud-based platforms to estimate the current load on the bridge and compare it with predefined safe capacity limits. When the pedestrian load approaches or exceeds the allowable threshold, the system automatically generates alerts to authorities and displays warning messages for users.
A web-based dashboard provides visual representation of live data, historical trends, and capacity status, enabling effective monitoring and decision-making.
Experimental implementation on a prototype walking bridge demonstrates that the proposed system effectively monitors load conditions and improves safety by preventing overloading scenarios. The IoT-based approach reduces dependency on manual inspections and enables proactive bridge management. This system enhances pedestrian safety, supports infrastructure maintenance, and contributes to the development of smart and sustainable civil infrastructure.},
        keywords = {Internet of Things (IoT), Bridge Capacity Management, Pedestrian Bridge Monitoring, Load Cell and Strain Gauge Sensors, Vibration and Accelerometer Sensors, Real-Time Monitoring},
        month = {January},
        }