Artificial Intelligence within Mobility

At the turn of the 20th century, the first motorized vehicles were starting to run across the road. In these early days for automobiles, they shared the road with horse drawn carriages.

At the time horses were quite reliable compared to this new ‘beta’ technology. Horsemen could easily control the horses, and they didn’t make as much noise as their inferior successors.

Fast forward a 100 years later. King car rules the roads, and the only place you see horse drawn carriages are in movies or somewhere in a museum. The point here is that the mobility industry was, is and will always be fast-paced and open to new innovation. One of those innovations that is currently changing our perception of what mobility means, is Artificial Intelligence.

What is Artificial Intelligence in Mobility?

Mobility in this context essentially means transportation. So, we’re talking about cars, trucks, freight services and bicycles. Most people have a vague idea of what artificial intelligence means. When they hear the phrase, what comes to mind is a super smart computer. Although this isn’t far from the truth, it isn’t a fully comprehensive answer. Artificial Intelligence is a combination of Analytics, Advanced Analytics, and Machine Learning.

Analytics can be described as the ability to record information and access it when you want to. An example is when you record the travel of individual trucks in a fleet in order to get the total mileage of the fleet. Advanced analytics occurs when you write algorithms that search for hidden patterns in the analytics data. An example is when you write an algorithm that clusters vehicles with similar mileage patterns. Machine learning is when the algorithm improves itself from analyzing more data. The larger amount of data it can crunch, the better it becomes at identifying the task it was made for.

Finally, Artificial Intelligence is when the computer program can basically do things that humans can do. So, if a computer program can predict vehicle mileage and adjust the routes to reduce the mileage and save costs, it becomes Artificial intelligence.

A very important part of artificial intelligence is the data it needs to crunch to get better. This is not much of a problem; humans generate lots of data. According to Forbes, by 2020, every single human being would generate about 1.7mb of data per second. If you attempt to do the math, you would understand that it’s quite a lot of data. According to IDC, the enterprise data is expected to grow 14-fold from 2012 to 2020. To demonstrate that we are under-utilizing this data, research from the McKinsey Global Institute shows we utilize just about 50 to 60 percent of the value of this data.

Why is Artificial Intelligence within mobility important?

Incorporating Artificial Intelligence within mobility is very important for a single reason — we are humans. Humans by nature get tired after doing an activity repeatedly for a long period of time.Meaning the efficiency humans use for the first task would have reduced when it’s time for the 1000th task. On the other hand, a computer can do the 1000th task with the same enthusiasm and tenacity as the first.

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