"WeatherSense+is a solution designed to allow the organisations responsible for key infrastructure to monitor, understand and predict the impacts of day-to-day and extreme weather on the ways in which real populations interact with infrastructure systems. It uses an innovative blend of big data analytics, real-time, historic and predictive data modelling and data from a variety of new and innovative sources including mobile phone networks, micro and macro weather sensors and a variety of open (and private) infrastructure / services data (such as transport and urban service operations). The platform collects, blends and analyses these data sets, and brings the derived insights to life through an interactive, visual web application, that will be made commercially available to relevant organisations, enabling them to react and plan for infrastructure impacts as a result of increasingly variable weather conditions in the UK."

The Connected Autonomous Sensing Service Delivery Vehicles (CASS- DV) technical feasibility study project seeks to address a number of challenges facing local authorities and those companies who deliver services on their behalf, namely reducing margins and continued austerity. The feasibility study will develop an autonomous vehicle prototype which can complete a number of tasks ranging from grounds maintenance (e.g. grass cutting) to street cleaning (street sweeping) whilst collecting information about the surrounding assets as it drives around. This asset information will be used by local authorities to improve the way in which they maintain the assets they are responsible for. The findings of the project will be shared widely with vehicle companies and service providers to encourage the former to offer AVs as a commercial solution and the latter as a means to transform the way in which they deliver services. The consortium, comprised of Amey and RACE, believe CASS-DV is the future of service delivery.