The project is being carried out by Road Intelligence, Construction Scotland Innovation Centre (CSIC) and the University of Edinburgh.
Currently, the majority of potholes have to be detected manually by foot or vehicular patrols, or simply by awaiting complaints from the public. The team behind the project describes this as costly and inefficient for roads authorities and unsafe for drivers.
The new road defect detection system developed during this project will use data collected via an accelerometer - already a standard part of most smartphones - to identify and characterise road defects using know-how developed in earthquake seismology. As well as identifying potholes and displaying their location on a web portal, the idea is that the system will also let road authorities know which minor road defects will soon develop into potholes, allowing them to act before they occur.
Machine-based learning and data science techniques have been combined to analyse the 鈥榗arquakes鈥� collected by the phones.
The lead partner on the project, Road Intelligence, is a new spin-out company of xDesign Ltd, an app development firm. The project, funded by CSIC, has been developed on the back of a research and development project supported by the Scottish government鈥檚 CivTech Programme between xDesign and Transport Scotland.聽
Road Intelligence will now focus on developing and commercialising the road defect detection system, with the aim of creating mobile apps that detect road defects and predict potholes.
Alan Bird, project manager at Road Intelligence, said: 鈥淥ur aim is to create apps which will save the public purse significant sums of money by reducing the need for manual inspection of road defects, reducing the amount paid out in pothole damage claims, and providing a 鈥榣ive鈥� road condition report. We are delighted that this collaboration with CSIC and University of Edinburgh has been so successful. We are now talking to two local authorities who want to use the beta product which we expect to be market-ready early in 2019. We hope their experience will allow us to explore the system鈥檚 full potential.
鈥淥ur initial investigations into international markets suggest significant interest in this new technology, which is great news for the future of the company. We expect it to increase our revenue by 拢5m over the next five years, allowing us to create 25 high-value jobs over the same timeframe.鈥�
Ian Main from the University of Edinburgh School of Geosciences said: 鈥淭his was a very rewarding experience, with interesting and novel results 鈥� we had never worked with data from moving sensors before, or moved so quickly from research to a practical application. Looking forward, we expect to be able to use some of the scientific findings in other applications in the construction sector on static structures, for example in earthquake resistant design, as well as to hone the techniques established to date.鈥�
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