Amap launches upgraded version of driving ETA service: real-time analysis of current road conditions and more accurate estimated arrival time

According to news from this site on April 29, Amap officially announced the launch of an upgraded version of driving ETA (Note from this site: ETA is the estimated time of arrival, which refers to the time when the user sets off at the current moment and follows the given route. Destination Estimated Duration) service, which is designed to help users make more accurate route planning duration and road condition estimates, and assist users in making travel decisions.

This map application is the latest upgraded Amap App, which introduces the "ultra-large-scale graph convolutional neural network model", which can update It can well capture and learn traffic flow patterns, support urban road networks and highway systems, and can depict the spatial and temporal dynamic changes of traffic conditions with high precision.

In addition, the new version of the map further integrates the iTransformer timing prediction model, supports real-time analysis of current road conditions, and has the ability to intelligently foresee future traffic changes. For example:

During the peak travel period of the May Day holiday, this service can accurately capture the impact of holiday travel patterns, regional travel popularity, weather changes and other factors on traffic conditions, and predict possible congestion nodes and accidents in advance. It can provide users with "more forward-looking" arrival time estimates when planning long-distance routes, and can achieve high-frequency updates at the minute level.

From now on, users who upgrade the Amap App to the latest version can experience the upgraded ETA service of Amap .

The above is the detailed content of Amap launches upgraded version of driving ETA service: real-time analysis of current road conditions and more accurate estimated arrival time. For more information, please follow other related articles on the PHP Chinese website!