Google uses artificial intelligence to improve Google Maps’ ability to help commuters understand public transport usage levels on their trip

In New York and Sydney, Google is testing new maps technology to predict overcrowding at the car level to show the status of each car in real time.

The feature is based on data from agencies such as Long Island Rail Road and Transport for New South, and more cities will soon add the feature. according to Google.

It is also expanded Overcrowding predictions in transit in Google Maps to over 10,000 transport companies in 100 countries. Google Maps users should be able to tell if their line “is likely to have a lot of free spaces, is at full capacity, or somewhere in between,” states Google.

Google rolled out public transit overcrowding predictions in mid-2019, long before commuting to the office ground stopped in March 2020. And the feature may be even more relevant now.

The predictions are based on Google’s AI models, crowdsourcing data from Maps users, and historical location trends that Google uses to predict future traffic line congestion around the world.

Given that hybrid work arrangements are likely to shake up historical commuting patterns at peak times, the map feature could be useful in helping workers choose the optimal times to commute to work.

For example, Google’s Maps data suggests that commuters are most likely to get a seat at 9 a.m., while there is usually only standing room between 7 and 8 a.m. Returning home is far less crowded at 3 p.m. than at 4 p.m. – 5 p.m.

The new Timeline Insights tab in Google Maps is also designed to help users selectively decide how and where to spend their time. Android users need to turn on location history to view the new Timeline Insights tab, which shows monthly trends in travel habits, including the distance and time a person has driven, flown, or walked. It also shows how much time has been spent in places like shops, airports, and restaurants.

Finally, Google Maps encourages users to write more reviews of local businesses they have visited. After exiting a restaurant review, users are prompted to share useful information, such as: B. Price ranges or whether it was for take-away or delivery. This feature is available for all restaurants in the US on Android and will soon be available for iOS.

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