Your browser is no longer supported

For the best possible experience using our website we recommend you upgrade to a newer version or another browser.

Your browser appears to have cookies disabled. For the best experience of MRW, please enable cookies in your browser

We'll assume we have your consent to use cookies, so you won't need to log in each time you visit our site.
Learn more

RCVs on the look-out for potholes in road trial

2000 pothole

Cameras fitted to refuse collection vehicles (RCVs) will be used to identify potholes in the road in a trial being undertaken by Thurrock Council in Essex.

The cost of the trial is being funded by the Department for Transport in a £1.2bn package from the new National Productivity Investment Fund, announced in the Autumn Statement, and the Pothole Action Fund.

Images from the high-definition cameras in Thurrock will build up an image library of local roads in an effort to help council officers identify problems before they become potholes.

Council leader Rob Gledhill said: “Thurrock was selected because it is recognised by the Government as being ready to test innovative techniques to improve the efficiency of local services, and for which the reliability and quality of its road network is crucial for residents and businesses alike.

“This is the first initiative of its kind, using cutting-edge technology and innovation that leads to better road conditions at less cost.”

Consultancies Soenecs and Gaist will support the project.

Soenecs founder David Greenfield said: “RCVs are the only vehicles to regularly traverse local highway networks weekly, and follow the same route each time.

“This makes them the best vehicle to use to monitor the condition of roads, pavements and street furniture, identifying issues before they become problems. The ultimate local authority efficiency: one vehicle, two roles.”

Director of innovation and research of Gaist, Dr Stephen Remde, said: “Computer vision technology is advancing rapidly, and we seek to capitalise on new data analysis techniques to analyse and manage the huge volumes of video and related data that can be used to improve the safety of roads and provide more cost-effective repairs.”

Have your say

You must sign in to make a comment

Please remember that the submission of any material is governed by our Terms and Conditions and by submitting material you confirm your agreement to these Terms and Conditions. Links may be included in your comments but HTML is not permitted.