![]() īeginning in 2009, Google turned to crowdsourcing to improve the accuracy of its traffic predictions. However, sensor data was largely limited to highways and primary roads because the sensors were typically installed only on the most heavily traveled or traffic-prone routes. ![]() ĭata from these sensors can be used to provide real-time traffic updates, and, once collected, the information becomes part of the pool of historical data used to predict traffic volume on future dates. ![]() Using radar, active infrared or laser radar technology, the sensors are able to detect the size and speed of passing vehicles and then wirelessly transmit that information to a server. Early versions of Google Maps relied only on data from traffic sensors, most of which were installed by government transportation agencies or private companies that specialize in compiling traffic data.
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