The degradation of roadway infrastructure, including pavement potholes, bridges, signs, markings, and barriers, is primarily caused by heavy traffic, harsh weather conditions, ageing, poor construction quality, and lack of maintenance. Neglected road maintenance leads to reduced road lifespan, high operating costs, and increased accident risks. If maintenance is ignored for three years, repairs or renewals may cost 3 to 6 times more than regular maintenance. Maintaining high-quality road elements is essential to ensure safe travel for all types of vehicles, including connected and autonomous ones. Cost-effective maintenance is necessary to optimize infrastructure life expectancy and enable uninterrupted transport flow, following the principles of infrastructure maintenance and road safety.
RDextractor is AI-powered software which allows faster and more objective/reliable road condition data for informed and optimized road maintenance bringing potentially enormous economic and environmental benefits. RDextractor will enable reliable extraction of data road conditions to the data users like authorities, cadastres, operative road agencies, the automotive industry and travel agencies. Moreover, RDextractor will provide an automatic extraction inventory of road infrastructure and trees, which will significantly distinguish us from our competitors and fill the existing gap in the market. Generally speaking, our solution will provide more reliable intelligence than any other available software and enable stakeholders interested in infrastructure maintenance to overbridge the current shortage of information to fully address their challenges.
Usage of Standards for data interoperability:
GDPR