Result description
Development of Road Wear Prediction Algorithm:
Based on the developed road sensing and damage mapping system, a road wear map layer utilizing AI-based road damage predictions is to be developed and provided to the road operator. Based on the predicted onset of road damages the road operator can set-up a derived predictive road maintenance and action plan to proactively reduce more severe road damages.
Predictions based on
•Road Wear Detection Data (JR)
•Weather Data (ASFINAG)
•Traffic Data (ASFINAG)
For each detected road damage, several predictions of
•Probability
•Severity
•Deterioration over time
For each detected road damage, several predictions of
•Decision Tree/Random forest
•Less data needed to get first results
•Unsupervised learning•Detects more complex dependencies
Addressing target audiences and expressing needs
- Grants and Subsidies
- Business partners – SMEs, Entrepreneurs, Large Corporations
- Expanding to more markets /finding new customers
Motorway operators/customers who want to optimally document and use their infrastructure.
- Public or private funding institutions
- Other Actors who can help us fulfil our market potential
- Research and Technology Organisations
R&D, Technology and Innovation aspects
The road wear prediction algorithm is ready to use. The more data we have to analyze, the better the algorithm works.
The next step is collecting masses of data.
The solution can be used several times without limit. The registration costs are very low.
We can make an offer based on cost per kilometer. This makes it easy for every operator to calculate
The research solution extends the lifespan of highway infrastructure and its users.
- Europe
- Middle-East
- Global
- Germany
- North America
Result submitted to Horizon Results Platform by EVOLIT CONSULTING GMBH
