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AI-based traffic risk assessment system introduced in Dubai to amplify road safety standards

Artificial Intelligence System Unveiled by Dubai's Roads and Transport Authority (RTA) for Evaluating Driver Risk, Considering Accident, Fine, and Black Point Records.

In Dubai, an AI-driven system is implemented for evaluating driver risks, enhancing overall road...
In Dubai, an AI-driven system is implemented for evaluating driver risks, enhancing overall road safety.

AI-based traffic risk assessment system introduced in Dubai to amplify road safety standards

In a bid to enhance road safety and promote responsible driving, Dubai's Roads and Transport Authority (RTA) has introduced an innovative platform called the Driver Risk Score. This AI-driven system is designed to assess and categorise drivers based on their risk levels, taking into account their traffic history, including accidents, fines, and black points.

The Driver Risk Score platform, currently in the trial phase, was developed using artificial intelligence and big data. It analyses integrated information across RTA platforms to provide a personalised risk score to drivers who input their Emirates ID and driving license. The score is categorised as low, medium, or high, offering drivers valuable insights into their driving habits and potential areas for improvement.

The RTA plans to utilise the Driver Risk Score data to focus training on specific demographics, particularly younger drivers. By identifying patterns and trends, the authority aims to address the root causes of traffic violations and improve road safety across the city.

Looking ahead, the RTA is exploring collaborations with insurance companies to use the Driver Risk Score as a basis for dynamic insurance premiums. Safer drivers (low risk) could receive discounts and incentives, promoting safer driving habits and reducing accidents. This aligns with global trends where insurers use telematics and risk scores to tailor policies more accurately.

Moreover, the platform could support proactive interventions, such as alerts or coaching for risky behaviours before violations occur, reducing accidents and traffic violations. Dubai aims to have 25% of rides autonomous by 2030, and partnerships involving AI-driven mobility services could leverage the risk scoring platform to monitor and improve the safety of autonomous fleets, ensuring compliance and risk mitigation in real time.

Mohammed AlMudharreb, executive director of the Corporate Technical Support Services Sector and chief AI officer at RTA, discussed the Driver Risk Score platform at Dubai AI Week. The RTA regularly launches awareness campaigns and tech-driven initiatives for safer driving, reflecting their commitment to road safety.

As Dubai's population nears 4 million and vehicle registrations continue to rise, the need for effective road safety measures becomes increasingly crucial. The Driver Risk Score platform represents a significant step towards achieving this goal, offering a data-driven approach to addressing traffic violations and promoting safer driving habits in the city.

While a decision on a public rollout of the Driver Risk Score platform is yet to be announced, its potential impact on road safety, insurance premiums, and the adoption of autonomous vehicles cannot be understated. As Dubai continues to innovate and lead in the field of AI and smart mobility, the Driver Risk Score platform is set to play a key role in shaping the city's transport future.

  1. The RTA's Driver Risk Score, currently in the trial phase, uses artificial intelligence and big data to assess and categorize drivers based on their safety records.
  2. Safer drivers, as determined by the Driver Risk Score, could potentially receive insurance discounts and incentives in the future, aligning with global trends in the insurance industry.
  3. The Driver Risk Score data could be utilized to identify patterns and trends among younger drivers, allowing the RTA to focus training and improve road safety in specific demographics.
  4. In the future, the Driver Risk Score platform could extend its reach to autonomous vehicles, helping to monitor and improve the safety of autonomous fleets as Dubai strives towards having 25% of rides autonomous by 2030.

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