Avis FleetBlog


Cars for the future: Machine learning and data lead the change

The revolutionary changes in motor engineering indicate that the car of the future will be a wonder of technology. “The automobile is being dismantled, re-imagined and rebuilt in Silicon Valley,” according to Will Knight, Senior Editor for AI at MIT Technology Review. Knight says the fact that Intel acquired Mobileye, an Israeli company supplying carmakers with computer-vision technology and advanced driver assistance systems for $15.3 billion (R204.6 billion) indicates that there are massive changes in the world of cars.

The acquisition shows that in a market with so many organisations invested in automated driving, this company has something special to offer in terms of technological and strategic benefits. Of particular interest is the value of on-the-road data with the development of automated driving.

Mobileye can offer some impressive advanced driver assistance features. Using a camera and software, the company can monitor speed limits from road signs and also keep tabs on other vehicles and pedestrians for the automatic braking system. Those in the know say Mobileye offers simple, low-cost solutions and that the company has gathered data, which is very important to machine learning, and data which is important for effective automated driving. This data has been gathered through extensive driving experience.

The way machine learning technology works

The machine learning technique uses new technologies, capturing images and annotating them to discern road markings, traffic signs, other vehicles and pedestrians. These images are captured by the camera as cars with the Mobileye drive around. The images are sent to a neural network and, using a deep learning technique, can distinguish the elements of an image to classify it.

Mobileye is working on technology that could make automated cars safer by using a technique called reinforcement learning, which is inspired by the way animals learn through experience. This technique can be used to teach computers to drive safely in complex, real-life situations.

The future face of fleets

Will we have automated driving fleets in future? The way machine learning is developing seems to indicate this will be possible. And while we are still waiting for this technology to be incorporated into our vehicles, innovation has already transformed fleets in recent years. Fleet Managers can already use productivity software to execute strategy for their fleets. This technology is already widely used to reduce costs and ensure a high return on investment. Let’s take a look at a few examples of Avis Fleet’s technology to ensure greater fleet efficiency.

  • Avis Fleet puts vehicle telematics technology to work for the effective reduction of costs and improvement of fleet efficiency by tracking driver behaviour. Vehicle telematics reports have helped Avis Fleet customers  save up to 20% in fuel costs.
  • Avis Fleet can help you take care of all the details needed to run an efficient fleet. You can make use of the Fleet Interactive portal through our fleet reporting solution. We provide you with a single platform for end-to-end reporting including driver, vehicle, technical and cost reports.

Avis Fleet is a fleet management company with extensive experience and expertise to help every company optimise its business processes. For more information about our fleet solutions click here, or feel free to contact us with any questions you might have regarding our services.

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