Submission ID 103266
| Session Title | AM - Drone Applications in Transportation Optimization and Asset Management |
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| Title | Drone-Assisted Urban Bridge Asset Management: A Systematic Approach for the City of Toronto |
| Abstract or description | This presentation discusses the use of drone technology and software analysis in urban bridge asset management, focusing on the unique challenges and opportunities present in the City of Toronto.
Urban infrastructure, particularly bridges, plays a crucial role in the sustainable development and connectivity of modern cities. Ongoing bridge maintenance, repair, and replacement are necessary due to aging and deterioration. In the long term, bridge engineering is expected to focus on maintaining existing bridges rather than constructing new bridges.
This study presents an in-depth analysis of the current state of bridge infrastructure in Toronto, integrating data from inspections, condition assessments, and performance histories. Leveraging drone-mounted photogrammetric technologies and advanced comparative and analytical software analysis, our approach aims to optimize asset management strategies. The City of Toronto employs a multifaceted approach to inspections, integrating visual assessments, enhanced inspections, digital innovations including artificial intelligence and drone technologies, and non-destructive techniques, to provide a thorough analysis of bridge assets in the urban landscape of the City of Toronto.
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| Presentation Description (for Conference App) | This presentation discusses the use of drone technology and software analysis in urban bridge asset management, focusing on the unique challenges and opportunities present in the City of Toronto. |
| Presenter and/or Author Information | Faraz Masoumi, City of Toronto
Gabriel Bincik, City of Toronto Hao Zhang, City of Toronto Christopher Loader, City of Toronto Andrew Cheung, City of Toronto |
