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Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
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ITEAM is aimed at establishing and sustainably maintaining the European training network by training strong specialists to research and develop cutting-edge technologies in the field of multi-actuated ground vehicles (MAGV).
This project aims to develop an accessible platform for the flight deck which supports new technologies, new applications such as crew decision aids harnessing big data, and 21st century HMI such as touch, voice and haptics.
Biomechanical software has been developed at Coventry University which has the capability of analysing musculoskeletal systems.
The overall aim of this JIP accordingly is to avoid or minimise the occurrence of motion sickness in automated vehicles. The project aims at realising this by explicating the underlying causes of motion sickness in automated vehicles, adopt reliable, sensitive, and valid methods to assess its occurrence, and sketch ways it can be mitigated by adapted (automated) vehicle design and/or other countermeasures.
InnEx will develop a highly innovative lightweight exhaust system for forced induction diesel and petrol automotive vehicles.
METRIC maps regional transport innovation capacity and identifies the competitive advantage of regions.
This project focuses on policy makers in the UK, specifically those civil servants who provide short and long term policy advice, either in response to specific crisis incidents or in the context of longer term planning for capacity building.
Connected and Autonomous Vehicles (CAV) are expected to bring huge benefits to society. The Trusted Intelligent CAV (TIC-IT) facility will be critical to this, providing a realistic, controlled high speed, limit-handling and fully connected environment.
Investigating the feasibility of building a connected autonomous vehicles (CAV) simulation platform that enables plugging in external heterogeneous components.
This research is aimed at assuring cybersecurity and safety of complex CPS/IoT systems, which arise from convergence of Cyber Physical Systems (CPS) and Internet of Things (IoT).
In the UK, in 2022, 376 pedestrians were killed and 19318 were injured, highlighting the important societal impact and a notable economical loss of £2.2M per death and £261,498 for each seriously injured victim.
r_lightBioCom’s ultimate aim is to enable the design and production of sustainable composite structures. Ultimately, this will lead to more efficient systems such as lighter and more durable planes and cars which can be re-used or recycled.
Coventry University is supporting Project Certus using simulation expertise to speed up the development of self-driving vehicles.
This project examines the systemic risks introduced by AI-generated synthetic data in autonomous vehicle (AV) development.
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).
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.
The ASSURED CAV (Connected and Autonomous Vehicle) Parking project’s purpose is to create a bespoke and realistic, controlled set of parking environments to test and support the development of current and future connected and automated parking solutions.
The goal of SIMUSAFE following the FESTA-V model methodology is to develop realistic multi-agent behavioural models in a transit environment where researchers will be able to monitor and introduce changes in every aspect, gathering data not available in real world conditions.
IFTC’s role in MFM supports future CAV testbed trials by developing guidance and case studies to assist users with test definition and planning.
Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
