本申请涉及人工智能技术领域,尤其涉及目标行驶路线的确定方法、装置、电子设备及存储介质,应用于车载场景,该方法包括:响应于目标对象触发的目的地选取操作,获得目标对象和目的地之间的至少两条候选行驶路线;获得至少两条候选行驶路线各自对应的具有指定资源的至少一个候选地,其中,每个候选地位于目的地的周边预设范围内;采用已训练的路线推荐模型,分别获得至少两条候选行驶路线和各条参考推荐路线之间的流量特征关联度和资源特征关联度;从至少两条候选行驶路线中,选取对应的流量特征关联度和资源特征关联度均满足预设关联度条件的候选行驶路线,作为目标行驶路线。这样,能够提高确定目标行驶路线的准确性。
The invention relates to the technical field of artificial intelligence, in particular to a target driving route determination method and device, electronic equipment and a storage medium, and is applied to a vehicle-mounted scene, the method comprises the following steps: obtaining at least two candidate driving routes between a target object and a destination in response to a destination selection operation triggered by the target object; obtaining at least one candidate place with specified resources corresponding to the at least two candidate driving routes, wherein each candidate place is located in a peripheral preset range of the destination; adopting a trained route recommendation model, and obtaining the flow feature correlation degree and the resource feature correlation degree between the at least two candidate driving routes and each reference recommendation route; and from the at least two candidate driving routes, selecting a candidate driving route of which the corresponding flow characteristic association degree and the resource characteristic association degree meet a preset association degree condition as a target driving route. Therefore, the accuracy of determining the target driving route can be improved.
目标行驶路线的确定方法、装置、电子设备及存储介质
2021-12-10
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |