Google Maps stays one step ahead of the crowd


Google uses historical traffic data with Google Maps to help produce estimated time of arrival (ETA). This allows a user to see at what time he should arrive at his destination. ETA can also be shared with friends or family so that the user does not have to pick up their phone to pass along notifications. But we do not have to tell you that there have been changes in traffic patterns in the last few months due to the epidemic, which led to the closure of many cities. When the cities started closing earlier this year, there was a 50% drop in worldwide traffic.

Google Maps uses AI, crowdsourced reports, and historical data to get from point “A” to “B” in the fastest time

The lockdown led to a situation where Google Maps’ data could not be trusted, forcing Google to modify traffic patterns. Considering the effects of COVID-19 on Google Maps, apps prioritize recent traffic patterns over the last two to four weeks, while drawing patterns from any earlier time.

Last week, Google published a blog post discussing how the company calculates traffic and routing on the Maps app. Location data is collected and used as a tool to determine how traffic is on roads around the world. As Google points out, this information is great at determining current driving conditions, but does not clarify what will happen in your journey for “10, 20, or even 50 minutes.”

To predict what will happen in the future, Google Maps analyzes traffic patterns on specific roads. For example, one pattern suggests that vehicles in the 280 freeway in Northern California typically arrive at 65mph between 6–7pm, but only at 15–20mph during the late afternoon. Google combines data from historical traffic patterns with data from live traffic conditions. Using machine learning on both sets of data, Google estimates the estimated time of arrival.

Google says that on 97% of visits using the Maps app, its predictions have been accurate. By partnering with DeepBind AI Research Lab of parent company Alphabet, Google Graph can reduce the number of incorrect ETAs through the use of neural networks. Available in places such as Berlin, Jakarta, Sao Paulo, Sydney, Tokyo and Washington DC, the technology allows Maps to predict if you will be caught in a recession that hasn’t even started yet.

Various factors are looked at including the amount of traffic on the way to help the app choose the route you should take; Low traffic is preferred. The quality of the road is also important; The road is paved or it is a gravel-covered road on which it is difficult to drive a vehicle. Other drivers may report things such as weather (snowstorms, torrential rain, etc.), accidents, construction, and police activity that can slow things down.

Have you ever used Google Maps to get directions to places you’ve been to many times before, but notice that the app is taking you a different way? This is because normally Google will find a new route when it is delayed. Google describes what happens: “Say you’re headed across town to a doctor’s appointment, usually down the street you get down. When you get out of the house, Traffic is flowing freely, with zero signs of any disruption along the way. With live traffic conditions as well as Google Maps traffic predictions, we let you know if you continue your current route, a There’s a good chance you’ll get stuck in about 30 minutes of unexpected gridlock traffic on your ride – which would mean your missing appointment. As a result, Google Maps allows you to use your knowledge of road conditions and events around you Automatically re-operates while doing – helps you avoid jams altogether and get your appointment on time. “

Whether you use iOS or Android, Google Maps is one of the most important applications that you can install and use on your mobile phone.