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The Multi-Area Connected Automated Mobility (MACAM) project is a collaborative initiative. It encompasses a multi-city, multi-operator, and multi-purpose self-driving trial.
GILL will be implemented through an iterative co-creation approach structured on a four-phases cycle - understand, co-design, implement, evaluate - repeated twice to incorporate the feedbacks and evaluation results in fine-tuned and validated results.
This project is focused on the design of reliable yet efficient thermal models underpinning an optimal design framework for power electronic converters. Due to the high number of times these models must be evaluated during the optimisation process, they are required to be of low computational cost (so-called ‘optimisable’).
The overall project aim is to create one of the world’s most advanced environments for connected and autonomous driving.
In this project, Coventry University has joined with GKN Hybrid Power, GKN AutoStructures, S&S Windings and Alexander Dennis Limited, to develop a Gyrodrive system solution that will be optimised for fitment to buses as original equipment.
The objective of the REACTOR project is to develop and evaluate a suite of technologies in support of reduced cockpit workload and improved situational awareness.
Our PACE-AI method is only using vehicle shape and pedestrian anthropometry. It can extract, in seconds, not only the vehicle impact speed (which takes the Police days), but also the pedestrian crossing speed, gait and crossing direction (impossible using Searle).