Stonehenge, one of the world's most iconic prehistoric landscapes, has been the focus of over 50 design iterations since 1991 to alleviate traffic congestion and enhance visitor experiences. The A303 Amesbury to Berwick Down (Stonehenge) Road Scheme presents a generational opportunity to remove much of the traffic from this iconic landscape and restore Stonehenge to something like its original setting.
Significant infrastructural interventions within a UNESCO world heritage site produce a complex communication challenge. With the responsibility of informing and assuring various stakeholders about the impact of the proposed tunnel, National Highways felt a method beyond traditional presentations and illustrations was needed.
A collaboration between National Highways, their technical partner AmW (AECOM, Mace and WSP), and the human experience design company MXT, led to the production of an immersive Virtual Reality (VR) experience. This VR experience was designed with two core principles:
The result was a 36 km2 interactive environment synthesising a terabyte of raw information to produce a digital mirror of Stonehenge and its surroundings accessible in virtual reality, desktop and shared immersive spaces.
The development phase spanned an initial three months, during which a data-driven and human-centered approach was adopted to create an immersive experience that respects the unique requirements and sensitivities of the Stonehenge landscape.
Accuracy and transparency were ensured by using only publicly available data, particularly emphasizing the standard resources submitted as part of the planning application to the National Inspectorate. MXT has since used this approach to create other realistic environments, quickly, across the UK.
The Environment Agency National LIDAR Programme provides accurate elevation data at 1m spatial resolution for all of England and is at the core of our workflow.
We use the dataset to generate the environment's terrain. We use a Vegetation Object Model (VOM), a derivative of the dataset, to procedurally generate the environment's diverse foliage and trees with an accuracy of 95%.
We generate ground cover using UKCEH Land Cover Maps, which describes land parcels via 21 distinct habitat classes.
The UKCEH digital river network of Great Britain supplies the river centre line of rivers canals, surface pipes and channels.
High resolution (12.5cm) aerial imagery via APGB contract adds depth and detail.
The infrastructure is built upon Building Information Modelling retrieved from Bentley's ProjectWise. Beyond that, the built environment is generated via Ordnance Survey's National Geographic Database (NGD), including:
2,000 simulated vehicles are generated via a PTV Vissim dataset, capturing class 4 and heavy articulated vehicles.
Each car and truck affects the noise, light and overall perception of the site.
Accuracy and transparency were ensured by using only publicly available data, particularly emphasizing the standard resources submitted as part of the planning application to the National Inspectorate. MXT has since used this approach to create other realistic environments, quickly, across the UK.
The Environment Agency National LIDAR Programme provides accurate elevation data at 1m spatial resolution for all of England and is at the core of our workflow.
We use the dataset to generate the environment's terrain. We use a Vegetation Object Model (VOM), a derivative of the dataset, to procedurally generate the environment's diverse foliage and trees with an accuracy of 95%.
We generate ground cover using UKCEH Land Cover Maps, which describes land parcels via 21 distinct habitat classes.
The UKCEH digital river network of Great Britain supplies the river centre line of rivers canals, surface pipes and channels.
High resolution (12.5cm) aerial imagery via APGB contract adds depth and detail.
The infrastructure is built upon Building Information Modelling retrieved from Bentley's ProjectWise. Beyond that, the built environment is generated via Ordnance Survey's National Geographic Database (NGD), including:
2,000 simulated vehicles are generated via a PTV Vissim dataset, capturing class 4 and heavy articulated vehicles.
Each car and truck affects the noise, light and overall perception of the site.
The coordinated efforts to marry scheme traffic and environmental data were described as remarkable by the joint world heritage centre and ICOMOS advisory mission and represents a first for a UK Government sponsored infrastructure project.