Smarter road maintenance starts with better data

Winter road maintenance depends on knowing what the road surface will do before it happens. Over-treatment wastes salt, budget, and time. Under-treatment creates safety risk and liability exposure. The difference between the two is forecast precision at the route level.

Xweather Horizon fuses data from Vaisala RWS200 weather stations, GroundCast wireless sensors, MD30 mobile detectors, and connected vehicles to produce 72-hour route-specific surface forecasts. Teams generate targeted treatment plans and work orders within the platform based on local conditions and their own operational policies.

Traditional road surveys are slow, expensive, and infrequent. Most agencies manage one major survey per year using specialist contractors and equipment. Between surveys, network condition data goes stale. Defects grow from minor repairs into major rehabilitation projects, and maintenance budgets are allocated on outdated information.

RoadAI turns any vehicle into a data collection platform. Install the app on a smartphone, drive the network, and access same-day results for surface defects, safety inspections, and asset inventories. Continuous surveying means an up-to-date view of network condition at a fraction of the cost of traditional methods.

Independently validated by national transport authorities in the UK, Denmark, and France. The AI model was tested against laser scanning data in Denmark and achieved a 1% error rate. PAS 2161 approved in England for official annual survey submissions.