Alabama Bets on AI to Fix Its Roads. It’s Not the Only State Placing That Wager
Good data means money well spent for Morgan Musick, an engineer at the Alabama Department of Transportation. High on her wish list is reliable, up-to-date information about the condition of every guardrail, road sign, and median strip marking Alabamaās 11,000 miles (about 17,703 km) of state roads and highways. The data needs to be so good that she can stake her departmentās budget on it. Alabama is among the first U.S. states to adopt performance-based budgeting for road maintenance.Ā The approach allocates money based on what the roads actually need, rather than on what each district requested the previous year. But the execution has been far from straightforward. The approach depends on good data, and for most of the past 15 years, that data came from crews driving the network of roadways with clipboards, cameras, and practiced eyes. Ā The results were valuable but uneven. Different inspectors saw different things.Ā Coverage varied as some stretches of road got surveyed more often than others. “To strengthen our performance-based budgeting, we need consistent, quantified data to produce condition assessments across all districts,” said Musick, the departmentās assistant maintenance management engineer. The solution Alabama chose isĀ Blyncsy, a platform powered by artificial intelligence (AI) from