Highways and Smart Cities

Highways Management and Local Highway Authorities are facing challenges to transform highway services driven by HMEP. Modelling Smart Cities are connecting people, technology, data and resources in the most efficient way. Asset Management is critical in this process and having access to evidence based, geospatial, fit for purpose data to understand, visualise and quantify assets and their condition is supporting these initiatives.


Asset Inventory and Condition Assessment

Access to highly detailed and georeferenced LIDAR and photographic data sets helps to view, identify, inspect, extract, measure and quantify highway assets. Having detailed, accurate and reliable spatial asset inventories helps support the right investment decisions. Mapping the as-built environment along with developing sensor placement plans for pollution, lights and WiFi boosters builds a greater spatial intelligence.

Advanced Acquisition Solutions

The use of mobile mapping systems on the carriageway and Orbit Geospatial Technologies enables the end user to extract assets from the model. Assets are by definition, features commonly presented as points, lines and polygons using a simple ‘point, click and map’ technique designed for rapid geo-database population. Additionally, we may use UAV/drones for close range asset condition inspection and mobile GPR for subsurface utility asset mapping and underground visualisation.

Integration of Existing Systems and Data

Our solution aims to take existing legacy asset data whether hard copy plans, spreadsheets or GIS layers and integrate the data to ensure the maximum value is derived. We are able to fuse different survey sensor data, bring mobile mapping content into third party platforms such as AutoCAD and Ersi ArCGIS and export out asset inventories to established asset information management software applications already in place.

Project Design and Consultancy

Our service supports the highways sector with solutions to meet HMEP objectives in developing a sustainable long term approach to asset life cycle planning and ensuring efficiencies are obtained. This may be achieved through the use of more reliable asset data registers and recognising data sharing opportunities to obtain maximum value from such.