Bentley Systems announced that the Alabama Department of Transportation (ALDOT) is implementing Blyncsy’s AI solution to enhance its performance-based budgeting for highway maintenance. ALDOT, which adopted this budgeting model over 15 years ago, seeks to refine funding allocations based on objective data. Traditional methods of data collection for asset conditions have been arduous and inconsistent, prompting the integration of Blyncsy’s AI analytics. Using crowdsourced dash camera imagery, Blyncsy provides an empirical assessment of critical assets with a reported accuracy of 97%. ALDOT’s Assistant Maintenance Management Engineer.
Infrastructure Management Positioning
Morgan Musick, stated that this automation allows for a more reliable condition assessment, enabling budget adjustments aligned with actual asset states. Mark Pittman from Bentley emphasized the importance of data-driven decisions for infrastructure management, positioning ALDOT as a leader in adopting AI for enhanced asset inspection The Alabama Department of Transportation (ALDOT) is taking a major step toward smarter infrastructure planning by integrating Bentley Systems’ AI-powered Blyncsy platform into its performance-based budgeting framework. As transportation agencies across the United States face rising maintenance costs, aging.
Infrastructure, and increasing public expectations, data-driven decision-making has become essential. By leveraging artificial intelligence and crowdsourced roadway imagery, ALDOT aims to optimize spending, prioritize safety improvements, and enhance overall operational efficiency while ensuring better value for taxpayer money Performance-based budgeting relies heavily on accurate, real-time data to measure outcomes and justify investments. Traditionally, transportation departments have depended on manual surveys, field inspections, and periodic reports, which can be time-consuming and costly. Bentley’s Blyncsy changes this approach by using.
Deploying Large Inspection Teams
AI and machine learning to analyze vast amounts of street-level imagery collected from everyday vehicles. This allows ALDOT to continuously monitor roadway conditions, traffic signs, pavement markings, and safety assets without deploying large inspection teams. As a result, budgeting decisions can now be directly aligned with measurable performance indicators rather than estimates or outdated reports Bentley’s Blyncsy platform brings advanced computer vision capabilities that automatically detect and classify roadway assets at scale. For ALDOT, this means faster identification of issues such as faded lane markings, damaged guardrails, missing signage, and vegetation encroachment.
These insights feed directly into the department’s asset management and budgeting systems, ensuring funds are allocated where they are most needed. By shifting from reactive maintenance to proactive planning, ALDOT can extend the lifespan of infrastructure assets and reduce long-term repair costs One of the most significant advantages of using AI-driven insights in budgeting is improved transparency and accountability. Performance-based budgeting requires agencies to demonstrate how investments translate into real-world improvements. With Blyncsy, ALDOT can support funding decisions using objective, data-backed evidence.
Digital Transformation Goals
This not only strengthens internal planning processes but also builds public trust by clearly showing how infrastructure funds contribute to safer and more efficient roadways The integration of Blyncsy also supports ALDOT’s broader digital transformation goals. Transportation agencies are increasingly adopting digital twins, predictive analytics, and cloud-based platforms to modernize operations. AI-powered roadway intelligence complements these initiatives by providing continuous data streams that integrate seamlessly with existing systems. This creates a unified view of infrastructure performance across the state, enabling planners and engineers to simulate scenarios.
Forecast maintenance needs, and align budgets with long-term transportation strategies Safety remains a core priority for ALDOT, and Blyncsy’s capabilities directly contribute to safer roads. AI-driven analysis helps identify high-risk areas where signage visibility is poor or (India) pavement markings have degraded, which are often contributing factors in accidents. By prioritizing funding for these locations, ALDOT can address safety concerns before they result in serious incidents. This proactive approach aligns with national road safety goals and supports data-driven safety programs promoted by agencies such as the Federal Highway Administration From a financial perspective.
Performance-based budgeting supported by AI helps ALDOT make more strategic investment decisions. Instead of spreading funds evenly or relying on historical spending patterns, budgets can now be aligned with actual asset conditions and performance outcomes. This ensures high-impact projects receive priority funding, while lower-risk assets are maintained efficiently. Over time, this approach can lead to significant cost savings and improved return on investment for public infrastructure spending The use of crowdsourced imagery is another key innovation in Blyncsy’s approach. By analyzing images captured from vehicles already traveling on public roads.
Conditions And Performance Outcomes
ALDOT gains extensive coverage without additional data collection costs. This scalable model is particularly valuable for a state with a diverse roadway network, including urban highways, rural roads, and local streets. Continuous monitoring allows planners to detect trends over time, such as gradual pavement deterioration or recurring maintenance issues, which further enhances long-term budgeting accuracy Bentley Systems’ collaboration with ALDOT highlights a growing trend among transportation agencies to partner with technology providers for smarter infrastructure management. As AI and machine learning technologies continue to mature.
Their role in public sector planning is expected to expand. Solutions like Blyncsy demonstrate how digital tools can transform traditional processes, making them faster, more accurate, and more cost-effective ALDOT’s adoption of AI-driven performance-based budgeting sets a strong (India) example for other state and local transportation agencies. By combining advanced analytics with strategic financial planning, agencies can better address infrastructure challenges while maximizing limited resources. This approach supports sustainability goals, improves roadway safety, and ensures that public funds are used efficiently to deliver measurable outcomes.
DOT’s use of Bentley’s AI-powered Blyncsy platform represents a significant advancement in performance-based budgeting. Through real-time roadway insights, automated asset detection, and data-driven planning, ALDOT is enhancing transparency, improving safety, and optimizing infrastructure investments. As transportation systems become more complex, the integration of AI solutions like Blyncsy will play a crucial role in shaping the future of smart, resilient, and efficient infrastructure across the United States.
Q1. What is Bentley’s Blyncsy platform?
Blyncsy is an AI-powered roadway intelligence platform that uses computer vision to analyze street-level imagery and detect infrastructure assets.
Q2. How does ALDOT use Blyncsy for budgeting?
ALDOT uses Blyncsy data to support performance-based budgeting by aligning funding with real-time asset conditions and safety needs.
Q3. What are the benefits of performance-based budgeting?
It improves transparency, prioritizes high-impact projects, and ensures efficient use of public funds based on measurable outcomes.
Q4. Does Blyncsy improve road safety?
Yes, it helps identify safety risks like faded markings and missing signs, enabling proactive maintenance.
Q5. Is AI commonly used by transportation agencies?
Yes, many agencies are adopting AI and analytics to modernize infrastructure planning and asset management.
