Travel navigation methods, devices, electronic devices and storage media

Abstract

This application discloses a travel navigation method, device, electronic device, and storage medium. This application can be applied to fields such as cloud computing, transportation, and map-based vehicle networking. The method includes: acquiring current map feature data of a target object; inputting the current map feature data into a travel intention classification model to obtain the target object's current travel intention; and providing travel navigation for the target object based on the current travel intention. Through federated learning and multiple data points corresponding to the target object, a comprehensive weight is determined for each target object. The travel data of the target object is labeled based on this comprehensive weight, and a travel intention classification model is trained using this labeled data. This model allows for the classification of the target object's travel intention, facilitating the provision of travel services to the target object based on its travel intention.

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