Normal traffic or moving traffic is indicated by green roads whereas yellow and red color represents slow down and congested traffic jams, respectively. Google Maps marks the traffic in three colors green, yellow, and red, which indicates clear, slow-moving, and heavily congested traffic using machine learning. Google Maps uses machine learning (ML) in combination with various data sources including real-time feedback from users, combined location data, local government data, and historical traffic patterns to predict regular traffic patterns. Google stated, ‘Once you disable or opt-out of My Location, Maps will not continue to send radio information back to Google servers to determine your handset's approximate location’. Google has stated that the speed and location information it collects to calculate traffic conditions is anonymous. Although there are options for users not to share their location with Google Maps using their phone settings. This data is continuously refreshed based on anonymous traffic sensors, traced user data, and satellite information to confirm that map is showing optimal traffic situation. By using radar technology and sensors, map detected traffic situations of road. Earlier, Google Maps used traffic sensors, which were installed by government and private companies. The android phone sends anonymous data to google informing the speed of moving devices on road. Google Maps check the traffic by tracking the moving of android phones on roads. Likewise, with the help of Google services, Google map helps us to find ways and explore routes. Moreover, this also includes information about the user’s location. Google collects the information as the user uses their services. Google collects and saves the information provided by the user that includes the name while creating an account, upload photos to google, or messages sent using Google services. First is the information user creates to provide Google and second is the information Google collects to use their services. This information generally falls within two broad categories. When a user uses Google services, Google collects few different types of information. Crowdsourcing includes obtaining information, work, or opinion from a large group of people who continuously submit their data via social media, the internet, and smartphone apps. Crowdsourcing is used to obtain real-time traffic data through a large number of mobile phones used. In 2007, Google Maps started offering traffic data as a colored pattern on top of roads to represent the speed of vehicles on particular roads or streets. Google Maps offers processed traffic information, which is instantaneously available and updated every second. Let us, deep-dive, into how Google Maps features its real-time traffic information. Google Maps is an online mapping service developed by Google that offers aerial photography, satellite imagery, street maps, street view, and route planning for travelers traveling by car, foot, and bicycle, public transportation information, and real-time traffic conditions. Information and Communication Technology.
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