The Tata Group’s Jaguar Land Rover (JLR) is developing smart cars that will offer a completely personalised driving experience and help prevent accidents by reducing driver distraction.

Using the latest machine learning and artificial intelligence techniques, JLR’s car will offer an array of services, owing to a new learning algorithm that recognises the driver and learns his/her driving style.

The software then applies this learning by using a range of variables including the time of day, the traffic condition and the weather to predict driver behaviour, and even take over some ‘chores’, allowing the driver to concentrate on the road. “The aim of our self-learning technology is to minimise driver distraction, which will help reduce the risk of accidents,” said Wolfgang Epple, Director of Research and Technology for JLR.

“Presenting the driver with information just at the right time while driving will reduce both cognitive distraction and the need for the driver to look away from the road to scroll through phone lists, or adjust mirrors, temperature or seat functions while on the road,” he said. Epple added that until now most self-learning car research has only focused on traffic or navigation prediction. “We want to take this a significant step further and our new learning algorithm means information learnt about you will deliver a completely personalised driving experience and enhance driving pleasure,” he said.

The intelligent car will recognise the driver by the smartphone or other device and by the time the driver has opened the car door, the mirrors, steering wheel and seat settings will all be synchronised to the individual’s preferences. The cabin will be pre-set to the desired temperature and be intelligent enough to change it if it is snowing or raining.

A ‘Smart Assistant’ will also review your schedule for the day and pre-set the navigation depending on traffic conditions to avoid congested roads.

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