Amap upgrades ETA service to improve route planning and road condition estimation accuracy

News on April 30, recently, Amap announced an important upgrade to its driving ETA (estimated time of arrival) service, aiming to provide users with more accurate route planning duration and road condition estimates.

As I learned from the editor, Amap has adopted an innovative ultra-large-scale map rendering neural network model in this App update, allowing the system to more accurately capture and Learn traffic flow patterns. The introduction of this technology not only supports the high-precision characterization of traffic conditions on urban roads and highway systems, but also captures their spatial and temporal dynamic changes.

In addition, the new version of Amap integrates the iTransformer time series prediction model, thereby gaining the ability to intelligently predict future traffic changes. For example, in the face of peak travel periods like May Day, the new ETA service can accurately predict the impact of holiday travel patterns, regional travel popularity, weather changes and other factors on traffic conditions. Therefore, the service can predict various situations such as possible traffic jams and accident-prone road sections in advance.

This service is a new AutoNavi ETA service based on artificial intelligence technology. Users’ travel efficiency will be significantly improved, while unnecessary waiting time will also be significantly reduced. From now on, users only need to upgrade the Amap App to the latest version to immediately experience this new ETA service.

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