Maximising the positive impact of autonomous connected, electrified and shared vehicles

Challenge identifier: SC2-2018


The automotive industry is facing large scale changes as it develops and delivers the autonomous, connected, electric and shared (ACES) vehicles expected by its customers. These changes impact all areas of the industry, including design, engineering and manufacturing technologies, the many support services such as HR, logistics and fleet management, through to the products themselves. There will be a wide range of business models used in the management and control of these disciplines, each generating or requiring large amounts of data, needing faster, more advanced and accurate analysis capabilities than ever before.

The longer term impacts of ACES vehicles are becoming clearer: not only environmental ones, but those concerning national and international infrastructure shortcomings, raw material availability and pricing, vehicle ownership trends and product end-of-life implications. Again, each of these areas will have an effect on the design, robustness and integrity of the business models to be used. The markets potentially available are massive, with connected and autonomous vehicles alone estimated to be worth €70bn by 2035.


We are particularly interested in the development and provision of data and analytical solutions capable of analysing, interrogating and managing both closed and shared datasets within the following key areas:

  • Manufacturing and maintenance – Identification and delivery of efficiency and cost saving opportunities within both current and new value-flow chains. Supporting the development of optimised, enhanced or new manufacturing, maintenance, distribution and ownership Models
  • Flow management – Supporting government, city councils and other public sector organisations to accurately predict and effectively manage the movement, servicing, emergency planning and safety and protection of vehicles, their drivers and the public
  • Fleet management – Providing valuable insight to public and private sector organisations such as infrastructure, rural and urban planners, public transport, utility service providers, environmental / waste management specialists and insurance providers
  • Safety – Provision of sanitised, objective data and analytical solutions to enable vehicle original equipment manufacturers, system and component suppliers, as well as the growing number of innovative technology companies to design, develop and manufacture safe and reliable products that need to gain and keep the trust of consumers.


Examples of data type includes but not limited to:

  • Roadload, driver performance and vehicle use / condition data
  • Data from Radar and LIDAR (Light Detection and Ranging) sensors or similar
  • Smart City data (including ANPR, Smart Energy / Architecture / Transport / Health) technologies

Expected outcomes

Example outcomes include,but not limited to:

  • New apps and connected services
  • New prediction algorithms
  • New intermediary / interface technologies that will facilitate the integration of data sources and tools
  • New decision making tools and business processes – including ‘transparent’ algorithms that promote accountability, registration and distributed ledger technology applications
  • Advanced hardware solutions
  • Applications must include details on how these outcomes will be tested and evaluated during the six-months acceleration programme.

Expected impacts

Participants will need to demonstrate how their solution:

  • Improves the efficiency of connected, autonomous, electrified or shared vehicles and/or
  • Supports the development of new manufacturing and maintenance models
  • Supports decision making in transport planning in smart cities