Gaist Take Leading Role In Zenzic CAM Scale Up Programme

Road data 04

Gaist Take Leading Role In Zenzic CAM Scale Up Programme

Gaist, the Skipton based experts in global roadscape data have been selected to take a leading role in the creation of the UK’s globally competitive Connected and Automated Mobility (CAM) ecosystem.

Gaist’s highly detailed, incredibly accurate data which is both simple to use and to understand, will be used to create safety models for all highway user types and to drive and monitor change. So far they have already developed ways to assess carriage and footway conditions as well as an active travel provision that enables a new era for walking and cycling alongside technological advancements.

We know that change is necessary to achieve Net Zero for highways maintenance and development but also as we see increased adoption of connected and autonomous vehicles (CAVs). Gaist have recognised that CAV’s both create and consume huge amounts of data, and are working with the opportunity and the challenge to combine connected vehicle data with forensic roadscape insight and historic road incident data. This has been recognised by Zenzic and its partners as a critical component in improving highway safety for all road users.

With Gaist’s monitoring capability the UK can take a leading role in deriving actionable data insights into:

  • The impact of temporary (such as roadworks) or permanent (such as new build or closure) changes on braking behaviour and areas of risk

  • Changes in pedestrian, cyclist and vehicular movement patterns caused by an infrastructure intervention.

Equipped with these insights highways and “place based” authorities could:

  • Push notifications to notify fleet drivers about areas of increased or heightened risk through their in-cab management system

  • Test capability to push notifications to CAV’s and their occupants about the risk associated with a particular route or location.

Gaist are experts in the combination of data to deliver new and high quality insights. They have nearly 3 billion high definition geolocated images from which they have extracted substantial and comprehensive built environment inventories using artificial intelligence and machine learning (AI/ML) with manual validation techniques. As a result, Gaist are able to deliver highway and pavement condition analysis, connected vehicle data insight, highway risk modelling (pedestrian, cycling and vehicular) and therefore accurate and comprehensive highway risk assessments to support pre- and post scheme improvement analysis.

The award includes government grant funding, use of the world-leading CAM Testbed UK facilities, world-class technical and business assistance from Zenzic and support from Plug and Play - their global investment network and accelerator platform.

Expect to see more updates in the coming months about project progress and outputs-

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The services we provide can easily be procured under the RAMS (Road Asset Management System) framework. The Procurement of the RAMS framework has been undertaken in accordance with Public Contract Regulations, 2015. The tender process was carried out under the Open Procedure following the publication of Find A Tender Service contract notice, publication number 2021/S 000-000293 dated 07/01/2021. This framework is available to any Contracting Authority in England and Wales that is a ‘Local Authority’ as defined in Section 270 of The Local Government Act 1972, and the Department for Transport.

The first step is to complete and submit the Access Agreement form on the RAMS Framework website and once approved by Blackpool Council (The Framework administrative authority) you will have access to the members area where all of the relevant contract documentation can be downloaded.

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