Artificial intelligence analyzes driver behavior from eye movement and heartbeat

(An expressive image of using artificial intelligence to drive cars)

Artificial intelligence predicts traffic accidents before they happen.. What's the story?

Researchers are developing a new artificial intelligence model capable of assessing the likelihood of a driver being involved in an accident, even before starting the car, in a move that could change the future of road safety.

Analyze behavior instead of waiting for errors

The system relies on analyzing the driver's behavior while driving, through indicators such as eye movement, heart rate, and personality traits, with the aim of discovering patterns that may indicate potential dangers.

Instead of waiting for real errors to occur, drivers are tested in a simulated environment, to monitor their reactions in different situations, and to extract early indicators of dangerous behavior, according to a report published by the “digitaltrends” website.

How does the system work?

Participants undergo virtual driving experiences during which several factors are continuously monitored, most notably:

* Eye tracking: to know the level of concentration and speed of response to dangers.

* Heart rate: To measure stress and mental pressure while driving.

* Personal traits: to assess the extent of risk tolerance and decision control.

This data provides a more comprehensive picture of driver behavior, going beyond simply recording errors, to understanding patterns associated with a higher probability of accidents.

Direct applications in commercial transportation

This system could have a major impact in sectors such as delivery services and commercial transportation, where it could be used to evaluate drivers before hiring, helping to reduce accidents and lower insurance costs. Instead of relying solely on traffic history, companies can make decisions based on advanced behavioral analysis.

Privacy and fairness concerns

Despite the potential benefits, the use of biometric and personal data raises questions about privacy and fairness, especially if it is used in employment or insurance decisions. Simulation results may not always reflect real-world driving conditions, which are unpredictable.

Towards safer roads

The system is still in the testing phase, and the next steps are expected to include experiments on real roads and in various environments, to verify the accuracy of the results. Experts believe that the success of this technology may pave the way for a new stage, in which driving risks are assessed in advance, which may transform accidents from “random” events into risks that can be predicted and reduced before they occur.