Link: https://smartphones.gadgethacks.com/how-to/see-what-traffic-will-be-like-specific-time-with-google-maps-0193097/
Description: WebJan 29, 2019 · Google Maps. As intuitive as Google Maps is for finding the best routes, it never let you choose departure and arrival times in the mobile app. This feature has long been available on the desktop site, allowing you to see what traffic should be like at a certain time and how long your drive would take at a point in the future.
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Link: https://cloud.google.com/blog/topics/inside-google-cloud/predicting-future-travel-times-with-the-google-maps-apis
Description: WebNov 11, 2015 · Predictive travel time uses historical time-of-day and day-of-week traffic data to estimate travel times at a future date. This makes it easier than ever to predict how long it will...
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Link: https://www.theverge.com/2020/9/3/21419632/how-google-maps-predicts-traffic-eta-ai-machine-learning-deepmind
Description: WebSep 3, 2020 · Google Maps’ ability to predict traffic and ETAs ahead of time is one of its most useful features. In a blog post today, researchers from Google and the company’s AI lab DeepMind explain...
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Link: https://blog.google/products/maps/google-maps-101-how-ai-helps-predict-traffic-and-determine-routes/
Description: WebSep 3, 2020 · To predict what traffic will look like in the near future, Google Maps analyzes historical traffic patterns for roads over time. For example, one pattern may show that the 280 freeway in Northern California typically has vehicles traveling at a speed of 65mph between 6-7am, but only at 15-20mph in the late afternoon.
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Link: https://electronics.howstuffworks.com/how-does-google-maps-predict-traffic.htm
Description: WebGoogle Maps bases its traffic views and faster-route recommendations on two different kinds of information: historical data about the average time it takes to travel a particular section of road at specific times on specific days and real-time data sent by sensors and smartphones that report how fast cars are moving right then [source: Barth].
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Link: https://m.youtube.com/watch?v=tKEnpYE-mtY
Description: WebSubscribed. 400. 106K views 8 years ago. Predictive travel time uses historical time-of-day and day-of-week traffic data to estimate travel times at a future date. This makes it easier...
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Link: https://mapsplatform.googleblog.com/2015/11/predicting-future-with-google-maps-apis.html
Description: WebNov 10, 2015 · Today we’re extending traffic predictions in the Google Maps APIs indefinitely into the future - a feature we call predictive travel times. This will let developers plan journeys hours, days or even weeks in advance, using Google’s model of what the traffic conditions will be like on that day.
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Link: https://www.ancoris.com/blog/predicting-travel-times-google-maps-apis
Description: WebNov 12, 2015 · A new feature in the Maps APIs called predictive travel times, will use historical time-of-day and day-of-week traffic data to estimate travel times at a future date. This makes it easier than ever to predict how long it will take to get somewhere and suggest the best route even when the departure time is far in the future.
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Link: https://deepmind.google/discover/blog/traffic-prediction-with-advanced-graph-neural-networks/
Description: WebSep 3, 2020 · Currently, the Google Maps traffic prediction system consists of the following components: (1) a route analyser that processes terabytes of traffic information to construct Supersegments and (2) a novel Graph Neural Network model, which is optimised with multiple objectives and predicts the travel time for each Supersegment.
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Link: https://www.digitaltrends.com/mobile/google-maps-future-travel-time/
Description: WebJul 14, 2017 · The app will now tell you how long your travel time may be depending on when you leave. A bar graph compares your current estimated time of arrival to what it would be if you left in the next...
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