A One+ Highways Agency Area 7

Area 7 commissioned RouteMapper to provide combined imagery and LiDAR data for their entire road network. Aone+ were looking at Mounting heights of safety fences. Current methods are costly and potentially dangerous to do on site.

A-One+ on behalf of the Highways Agency commissioned IBI Group to carry out a survey of the Safety Fences within Managing Agent Contractor (MAC) Area 7. Area 7 covers the whole of the East Midlands, which encompasses the trunk roads in Lincolnshire, Nottinghamshire, Derbyshire, Leicestershire, Northamptonshire and Rutland, totalling over 1,500 Kilometres of roads.

The aim of the survey was to establish the actual mounting heights of the safety fences across the network for compliance with standardised heights in accordance with BS 7669 Part 3: 1994.

To carry out such a large scale survey by traditional methods would have been very costly and time consuming involving traffic management and site staff physically measuring the safety fence mounting heights at set intervals.

IBI Group’s unique offering was based upon its tried and tested RouteMapper system, comprising multiple high resolution cameras, LiDAR scanners and on-board navigation systems. All survey data was collected at traffic speed removing the risk to site staff and the requirement for any traffic management.

The resultant 3D geo-referenced dataset was employed to identify the profile type of the safety fence and extract the mid point mounting height relative to the offset from the carriageway edge. The fences were split into 10m segments and measured to within a tolerance of 5mm.

IBI Group’s application of industry recognised techniques such as digital imagery and LiDAR capture in an innovative approach allowed A-One+ and the Highways Agency to prioritise maintenance intervention in a timely manner resulting in increased road user safety.

Following on from the initial purpose of the survey, A-One+ have re-used the dataset to extract road surface drainage information (longitudinal profiles and contours) and are exploring the many secondary uses of the LiDAR dataset.