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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 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.
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.
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.
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.
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 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.
Within the Air-One project we will implement the first UKs first ‘pop up’ airport and charging hub for future electric Vertical Take-Off and Landing (eVTOL) aircraft .
This research investigates the cyber security, human factors and trust aspects of screen failures during automated driving.