The Bristol Airport study was conducted as part of the Capri Project.
Capri was a collaborative research and development project, set up to support the early market for Connected and Autonomous Vehicles (CAVs). The aim of Capri was to build passenger, regulatory and market trust in autonomous pods as a practical, safe and affordable way to travel. Capri was a pilot project that includes the design, development and testing of connected and autonomous pods.
Aimsun’s role in Capri was to use simulation as a pre deployment tool for assessing the feasibility of a pod service. Aimsun has developed a methodology for testing deployments at any scale, and by varying parameters can offer optimized delivery of a system.
Congitial’s ConOPTIUM™ Fleet Management System (FMS) is an AI decision-making platform that was integrated with the Aimsun Ride Mobility-as-a-Service solution to identify optimized fleet deployments under a broad range of scenarios. The technology tested optimized services by minimizing the number of pods required and their operating costs, while maximizing the benefit to passengers in terms of reduced and more reliable travel times.
The Bristol Airport study had three objectives: firstly, to integrate Conigital ConOPTIUM™ FMS AI decision-making platform with Aimsun Ride; secondly, to optimize the fleet, and thirdly. to investigate how the results from the optimized solution could support a business case for a POD service at other locations.