Dubai uses 'Emotional AI' to assess tram drivers


Dubai is using Artificial Intelligence to assess tram drivers in real-time and ensure passenger safety.

The Roads and Transport Authority (RTA) has implemented the third phase of trials of the technology, which is the first of its kind in the world.

The Emotional Data Analysis and Automation (EDAATM) is a generative A.I. system based on deep learning models that were provided by the  Spanish Firm, OWN Experiences, which has its R&D branch, VirtuE Therapy and Research, based in the UAE.

The system uses a smart device and an armband to have a multitude of detection classifications such as heart rate, speech patterns, and reaction times to determine driving style, unsafe patterns, deviations, and gestures based on drivers' profiles.

It aims to reduce the potential of human error incidents, by predicting behaviour that can threaten operational safety and trigger a preventive response to prevent incidents, accidents, and near-misses.

The system will also provide information based on locations – which will help show ‘hot spots of concerns and address viable solutions.

Collected data is then processed from both incidents and routine operations to provide a comprehensive understanding of the drivers.

It then defines the required profiles to continuously improve the system.

The RTA is working closely with both the provider and the operator of Dubai Tram, Keolis MHI to review and collect the data.

"Transportation networks and their assets are widely known as critical infrastructures that require attention to details and special protection," said Hassan Al Mutawa, Director of Rail Operations at the RTA's Rail Agency.

"We are currently in the trial phase of this innovative AI solution with our partners to ensure our passenger's safety. Following a successful trial, we expect to implement it across the Dubai Trams," he added.

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