Use Case A – Shuttle buses, Linköping, Sweden
The baseline data collection started in April. During this time, eight shuttle operators will be using a smart-watch to register sleep, the Sensair sensor to detect alcohol, the AIT sensor to detect stress and the Datik system to detect fatigue. After four weeks, the countermeasures will be activated and the full PANACEA system will be up and running.
Use Case B – Delivery service riders and taxi drivers, Thessaloniki, Greece and Graz, Austria
We have already completed a simulator study committed to improving the accuracy of the Driver Monitoring System algorithm in detecting cognitive distraction.
We are currently conducting experiments to collect data and refine our algorithms to combat impairing conditions such as fatigue, stress and alcohol consumption in delivery service riders and taxi drivers.
Our PANACEA solution is set to undergo its final performance evaluation in just three months and we are eager to evaluate its usability, usefulness, and acceptance by commercial drivers and riders, as well as operators and managers.
The PANACEA solution will detect and monitor fatigue, stress and alcohol consumption, as well as drugs and deliver relevant countermeasures.
To ensure that our technology is effective and relevant to the transportation industry, we will be conducting focus groups and interviews with stakeholders and investigating the transferability of our findings to other transportation areas as well as analysing impact assessment simulations and calculations focused on road safety and the ‘Vision Zero’ impact areas.
Use Case C – Electric truck and coach drivers, San Sebastian, Spain
In Spain, the focus will be on analysing risky situations due to fatigue and offering countermeasures to mitigate for them. The pilots are due to start very shortly. In the meantime, the last details are being refined so that data capture can begin.