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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.
METRIC maps regional transport innovation capacity and identifies the competitive advantage of regions.
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.
Developing new pilot-centred interface technologies to improve situation awareness, decision making and improve the availability of aircraft in adverse weather.
VExPro aims to optimise a lightweight exhaust system encompassing areas of thermo-mechanical, mechanical, acoustics, vibration, manufacturing and light-weighting analysis and design in a High Performance Computing (HPC) environment.
InnEx will develop a highly innovative lightweight exhaust system for forced induction diesel and petrol automotive vehicles.
The main aim of FLUD is to develop an intelligent and cost-effective automatic monitoring, and forecasting platform for flooding in urban environments.
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.
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).
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.
The main aim of this project was the development and validation of an engineering design tool for modelling selective catalytic reduction (SCR) on a diesel after-treatment system under steady state and transient conditions.
METPEX is a research project funded in the context of the 7th Framework Programme of the EU, aiming to develop and evaluate a standardised tool to measure passenger experience across whole journeys.
TInnGO, the Transport Research Observatory, is a pan European observatory for gender smart transport innovation, that provides a nexus for data collection, analysis, dissemination of gender mainstreaming tools and open innovation, encouraging smart mobility.
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.
This explored the use of augmented reality in the context of manufacturing assembly workers required to conduct complex product assemblies (such as high performance battery packs for electric vehicles) with increased efficiency.
The overall project aim is to create one of the world’s most advanced environments for connected and autonomous driving.
Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
