Search
Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
Search
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).
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.
Investigating the feasibility of building a connected autonomous vehicles (CAV) simulation platform that enables plugging in external heterogeneous components.
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.
This research investigates the cyber security, human factors and trust aspects of screen failures during automated driving.
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.
METRIC maps regional transport innovation capacity and identifies the competitive advantage of regions.
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 overall project aim is to create one of the world’s most advanced environments for connected and autonomous driving.
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 Multi-Area Connected Automated Mobility (MACAM) project is a collaborative initiative. It encompasses a multi-city, multi-operator, and multi-purpose self-driving trial.
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.
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.
SUITS is one of the three projects of the EU’s CIVITAS 2020 initiative focusing on sustainable urban mobility plans.
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.
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.
IFTC’s role in MFM supports future CAV testbed trials by developing guidance and case studies to assist users with test definition and planning.
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).
InnEx will develop a highly innovative lightweight exhaust system for forced induction diesel and petrol automotive vehicles.
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.
Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
