Wedoany.com Report on Feb 9th, The Alabama Department of Transportation (ALDoT) recently announced that it is utilizing Bentley Systems' Blyncsy solution to assess road asset conditions through artificial intelligence technology, aiming to enhance infrastructure management efficiency. This innovative method leverages crowdsourced dashcam images from vehicles, combined with AI analysis, to conduct comprehensive condition assessments of assets such as guardrails and signs along approximately 11,000 miles of the state's roads.
Morgan Masic, Assistant Maintenance Management Engineer at ALDoT, stated: "We need consistent, quantifiable data to assess conditions across all areas. This AI technology helps us objectively understand the state of our road network, enabling us to adjust budgets based on actual asset conditions and ensure funds are allocated to appropriate maintenance activities, thereby better achieving the target service level for each asset."
According to Bentley Systems, in a previous pilot project, Blyncsy's AI model performed exceptionally well, achieving an accuracy rate of 97%, providing a reliable data foundation for precise financial planning. Mark Pittman, Senior Director of Transportation AI at Bentley Systems, noted: "The future of infrastructure asset management depends on making financial decisions based on empirical evidence rather than historical precedent. By integrating AI-driven asset inspections into its performance-based budgeting process, ALDoT is setting a new standard for data-driven infrastructure planning."
ALDoT has long relied on data-driven statewide surveys to inspect assets, but traditional manual inspection methods are more labor-intensive. Now, incorporating Blyncsy's automated AI analysis into the existing workflow not only enables faster and more consistent assessments of designated road assets but also significantly improves operational efficiency. This collaboration demonstrates the potential of AI technology in the field of road asset management and is expected to drive the industry towards a smarter, more data-driven direction.
