本披露涉及基于预计到达时间(ETA)模型确定路线的预计到达时间的系统及方法。该系统可以运行该方法以获取一第一电信号，该第一电信号与至少一个路线相关，该路线具有至少一个路段；基于第一电信号，产生并保存至少一个全域特征矢量及至少一个历史时距的第一结构数据，该至少一个全域特征矢量及至少一个历史时距与至少一个路线相关；基于至少一个全域特征矢量及至少一个历史时距，训练一ETA模型，并产生该模型的第二结构数据；继而，可以将上述ETA模型的第二结构数据保存至至少一个非暂态电脑可读存储媒体中。

The present disclosure relates to systems and methods for determining an estimated time of arrival (ETA) for a route, based on a model of ETA. The systems may perform the methods to obtain a first electrical signal associated with at least one route having at least one road section; generate and save first structured data of at least one global feature vector and at least one historical duration associated with the at least one route based on the first electrical signal; generate second structured data of a model of ETA by training the model based on the at least one global feature vector and the at least one historical duration; and save the second structured data of the model of ETA in the at least one non-transitory computer-readable storage medium.