Shraddha Mithun Thakur
, Shreya Sanjay Rane , Srushti Chandrakant Jadhav
Keywords Smart bridge, flood mitigation, adaptive curve-based lifting, online sensing of water level, machine learning, resilience of transportation infrastructure.
In this paper, we propose a new smart bridge system that helps mitigate floods by controlling its curve based on real-time water levels. In flood events, the smart bridge continuously monitors the water level using built-in sensors and reports the information to the intelligent control system. The system utilizes machine learning to predict the optimal curve adjustment of the bridge. This approach allows the bridge to passively release water and debris while ensuring its own safety and stability. The effectiveness of the proposed system is verified through simulation and experimentation. The proposed smart bridge system could reduce flooding damage and improve transportation infrastructure resilience. The proposed innovative smart bridge system presents an adaptive and proactive solution for bridge infrastructure supporting extreme weather events in flood-prone areas.
"Smart bridge", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b399-b401, March-2025, Available :https://ijsdr.org/papers/IJSDR2503147.pdf
Volume 10
Issue 3,
March-2025
Pages : b399-b401
Paper Reg. ID: IJSDR_301027
Published Paper Id: IJSDR2503147
Downloads: 000160
Research Area: Science and Technology
Country: Kolhapur , Maharashtra , India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
