Basic project details

• Implementation period: 1^st January 2025 – 31^st December 2025
• Project partners: IHF Digital Ltd, Edinburgh Trams, DKV Debreceni Közlekedési Zrt.
• Lead partner: Edinburgh Napier University (ENU)
• Project leader: Professor Pat Langdon
• Funded by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union.

Purpose

The aim of the project is to test a system, that can predict and prevent the onset of human error (fatigue, inattention, incapacitation, illness), before it’s commercialised.

Implementation

IHF DIGITAL Ltd has developed a lightweight, unobtrusive wearable system (smartwatch and hub) that collects biometric data of transport drivers and perform predictive analytics that detects error producing conditions and prevent fatigue related incidents. Biometric data from the user is sent to the hub via Bluetooth. The hub will semi process some of the data before sending securely to the Cloud, where some machine learning takes place. Any physiological and statistical deviation from the users’ norm (which has been pre-tested on an individual basis) will flag a Red/Amber alert to both the user and a control room to take action, based on company protocol.

Partners’ main contributions:

• IHF Digital provides devices, and training
• ENU will provide project management structure to ensure a successful project delivery, through their Transport Research Institute (TRI).
• Edinburgh Trams
• DKV provides the second pilot location rolling out the device & technology.

Debrecen’s pilot project

DKV’s role within the project will be to provide access, to train & onboard 30-50 volunteers of a various mix (tram, bus, trolleybus drivers, operators) and deploy the technology in real live environment. During the pilot phase DKV will help the consortium by collecting feedback, aid the conduction of interviews and surveys, give feedback on the system’s accuracy.