Now you can predict traffic slowdowns before they even happen: Here is Google’s latest technology

Google Maps the web mapping service developed by Google is hands down one of the best of its kind. Just tell it your destination and Google Maps will show you the paths according to your inclinations. It can let you know the time it will take for the journey. Also, at what time you will arrive at your destination though the time of arrival is tentative and changes depending on a variety of factors.

Google can foresee just about everything about your journey and it revises your ETA appropriately.

Brace yourselves. Google has another amazing idea in its pocket. With the help of DeepMind AI Technology, Google’s research lab just created on of the most modern and refined Map systems. Also, a feature from Waze was borrowed which plays a crucial role to make those estimates more accurate and precise.

ETA Predictions by Google Maps: How?

Before this upgrade, Google Maps ETA prediction was almost 97 percent accurate. By collaborating with DeepMind AI Technologies, Google is now using machine learning to make those readings even more precise than ever. They intend to do this by making use of a machine learning architecture called Graph Neural Networks.

Predicting slowdowns even before they occurred is a pretty sophisticated aspect.

But obviously for that to happen, the application needs a huge amount of data.

It needs to take several aspects into consideration too. Google takes the past traffic patterns and analyses them. It checks to see how busy a street is at various times over a single day, analyses them. Now it takes all these points into account and gives you an ETA prediction. It is important that newer and recent data is taken not the old info. The COVID-19 has proved that standpoint since the traffic conditions have changed radically. Right now, it takes data that is not older than four weeks as its top priority and does its work.

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Road conditions are also a factor

The narrowness, the size, the quality, and the directness of the street, the app considers all these features too in making the prediction. So, Google will recommend you nicer, good quality roads rather than unpaved rocky roads.

The speed limit, if the roads are barred due to any restrictions, and the tolls. All these factors are also considered in estimating the result. Google Maps depends on the data and the rules and regulations set by the local government.

Furthermore, a feature that was only available on Waze, which is a GPS navigation app, is also utilized by Google Maps now. The application will contemplate incident reports too. This gives us more specifics about the conditions of the roads we are about to take.

Well, Google has never been behind in putting new technologies and innovations into the market. And it most certainly will never be behind.

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