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Google managed to reduce traffic jams and save the environment.
A driver in Seattle stops at a red light, waiting an average of about 20 seconds before turning green, according to vehicle and smartphone data compiled by analytics company Inrix. Such delays at traffic lights irritate drivers and lead to the release of at least 1,000 metric tons of carbon dioxide from each car into the Seattle atmosphere every day. With the help of new artificial intelligence from Google as part of the Google Green Light project, the burden on both the environment and the nerves of drivers in the city is starting to be significantly reduced.
Seattle is among dozens of cities, including Jakarta, Rio de Janeiro and Hamburg, that have started optimizing some traffic lights based on the analysis of traffic data obtained from the Google Maps app. The aim of the work is to reduce harmful emissions from cars that are idle at intersections.
To implement the project, Google experts analyze Map user data using artificial intelligence algorithms, which has already led to optimization of downtime settings at 70 intersections in different cities. According to preliminary estimates of Google engineers, AI recommendations for optimizing traffic lights have reduced the number of forced car stops by 30% and the amount of harmful emissions from about 30 million cars per month by 10%.
Some of Google's recommendations include adding an extra two seconds at certain hours to the time between when one light turns green and when the next one on the road turns green, allowing more vehicles to pass through both intersections without stopping. More complex suggestions may include setting the duration of a particular traffic light, or changing the time between two traffic lights.
The preliminary results were released by Google today, along with other updates to projects that use the corporation's AI developments to improve the environmental sustainability of cities. In particular, the company is expanding to India and Indonesia the function of choosing the route with the lowest fuel consumption in Maps, as well as introducing offers in Belgium, the Netherlands, Luxembourg and north-west Germany on the direction of flights for dispatchers to reduce the formation of harmful aviation traces.
A driver in Seattle stops at a red light, waiting an average of about 20 seconds before turning green, according to vehicle and smartphone data compiled by analytics company Inrix. Such delays at traffic lights irritate drivers and lead to the release of at least 1,000 metric tons of carbon dioxide from each car into the Seattle atmosphere every day. With the help of new artificial intelligence from Google as part of the Google Green Light project, the burden on both the environment and the nerves of drivers in the city is starting to be significantly reduced.
Seattle is among dozens of cities, including Jakarta, Rio de Janeiro and Hamburg, that have started optimizing some traffic lights based on the analysis of traffic data obtained from the Google Maps app. The aim of the work is to reduce harmful emissions from cars that are idle at intersections.
To implement the project, Google experts analyze Map user data using artificial intelligence algorithms, which has already led to optimization of downtime settings at 70 intersections in different cities. According to preliminary estimates of Google engineers, AI recommendations for optimizing traffic lights have reduced the number of forced car stops by 30% and the amount of harmful emissions from about 30 million cars per month by 10%.
Some of Google's recommendations include adding an extra two seconds at certain hours to the time between when one light turns green and when the next one on the road turns green, allowing more vehicles to pass through both intersections without stopping. More complex suggestions may include setting the duration of a particular traffic light, or changing the time between two traffic lights.
The preliminary results were released by Google today, along with other updates to projects that use the corporation's AI developments to improve the environmental sustainability of cities. In particular, the company is expanding to India and Indonesia the function of choosing the route with the lowest fuel consumption in Maps, as well as introducing offers in Belgium, the Netherlands, Luxembourg and north-west Germany on the direction of flights for dispatchers to reduce the formation of harmful aviation traces.
