Three ways AI can help you with your driving test

Learning to drive is a difficult journey. The average learner in the UK dedicates 45 hours towards supervised practice with a qualified instructor (on top of 22 hours of private practice) before being test ready. There isn’t a minimum number of lessons drivers are required to take before booking their test. These numbers are just an average and should only be used as a guide, since everyone learns differently and at different speeds. 

In recent years, technology has assisted student drivers in the learning process in a number of ways, and, when used correctly, it can speed up the transition from provisional licence to full, without compromising your ability to drive safely. One of the most important developments the industry has seen is the rise in AI technologies. In this guide, we explore three key ways in which AI is already being used to assist learners. 

Theory test revision 

The theory test is the first obstacle on the route to getting your full driving licence. The test comprises two parts: multiple-choice questions and hazard perception. To pass, you must score at least 43/50 on the multiple-choice section and 44/75 on hazard perception. 

As you would with any exam at school, it’s imperative you dedicate a sufficient amount of time to studying for your theory test – this is where AI technology can be so helpful. Firstly, AI software can analyse responses to different questions and provide students with instant feedback to identify any areas of weakness and keep their learning focused. In addition, generative AI can be leveraged to present learners with realistic test questions and comprehensive answers that can be used as part of the revision process. 

Virtual reality 

Virtual reality (VR) has come a long way in a relatively short space of time, and it’s starting to be leveraged in the automotive industry. This technology can simulate realistic driving conditions to give learners more exposure to different scenarios they might encounter. 

Of course, VR should not be a substitute for time spent behind the wheel – getting real-life experience on the road is the best way to fine-tune your skills and knowledge. However, when used in the right way, this technology could provide a different way of learning while removing some of the risks associated with being exposed to different driving conditions for the first time. For example, it could emulate an agitated driver tailgating your vehicle, giving learners a better insight into how to deal with such situations appropriately. 

Personalised learning

With specialised AI technologies integrated into vehicles, learners and instructors are able to get key insights into their driving behaviours, identifying areas for improvement. Clever algorithms can monitor all different aspects of a learner’s habits behind the wheel – from accelerating to speed control – to highlight strengths and weaknesses. This information can then be used by the instructor to ensure lessons are more tailored to the individual learner, making the time spent behind the wheel more focused on their specific needs. 

Use AI effectively 

Both learners and instructors have the opportunity to integrate AI into the learning process to optimise lessons and bring about more positive outcomes. The increase in the amount of this technology that is available may well have an impact on a typical learner driver experience in years to come: but remember, it’s never a full substitute for time on the road.

This is a guest post by Leo Clarke, Content Producer and Researcher

Photo credit: Stockcake

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