Completed Engineering Computing & AI

i-MOTORS - Intelligent Mobility for Future Cities Transport Systems

In plain English

AI plain-English summary

Cars on UK roads will soon share data with each other and with traffic control centres through a cloud computing platform that fuses vehicle sensors with road environment information. This matters because current traffic management relies on fixed sensors and historical data, which cannot respond to real-time conditions like sudden congestion, accidents, or roadworks. The project addresses the fundamental problem of knowing exactly where vehicles are—especially in tunnels, urban canyons, or other areas where GPS fails—by combining satellite navigation, inertial measurement units, cameras, and LiDAR into a single positioning system. If successful, the platform will generate dynamic maps and near-real-time alerts transmitted back to vehicles, helping drivers avoid delays. It will also power an intelligent traffic management dashboard for stakeholders, allowing them to reduce congestion and improve traffic flows. As a proof of concept, the team will demonstrate vehicle-to-vehicle connectivity for car platooning—where vehicles travel closely together at constant speeds to save fuel and reduce emissions. The project is applied engineering with clear practical outcomes: smoother journeys, lower emissions, and more efficient use of existing road infrastructure.

View original technical description
i-MOTORS is a CR&D project that will see the development of a vehicular cloud computing platform that fuses data from road vehicles with ancillary information relating to the road environment. The product will include dynamic maps that are transmitted back to vehicles to aid drivers and near real-time alerts which can be used to improve the management of the road network. The maps and alerts will also underpin an intelligent traffic management dashboard that will be available to stakeholders in traffic monitoring and management to aid in planning, reducing congestion and improving traffic flows. As a proof of concept we will develop an M2M system to achieve V2V connectivity to allow sharing of information between vehicles to demonstrate novel concepts such as car platooning. i-MOTORS recognises the difficulties in accurately positioning vehicles, therefore a novel concept of ubiquitous positioning through the integration of multiple sensors (GNSS, IMU, vision, LiDAR) through the development of an innovative Beyond Line of Sight device will allow precise and accurate positioning in wireless and mobile denied areas.

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Related Research

Grants with similar aims, by meaning.

i-MOVE (Internet of Moving Objects and Vehicles Ecosystem)
Enhanced real time services for an optimized multimodal mobility relying on cooperative networks and open data
TASCC: The Cooperative Car
Galileo-Enhanced MOTIT: an electric scooter sharing service for sustainable urban mobility
intelligence to Drive | Move-Save-Win

Original classification

Collaborative R&D

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.