公开(公告)号：US12118832B1

公开(公告)日：2024-10-15

申请号：US18492767

申请日：2023-10-23

申请人： ZHEJIANG LAB

发明人： Hongyang Chen ,  Chenxi Liu ,  Zhu Xiao

IPC分类号： G07C5/02

CPC分类号： G07C5/02

摘要： The present application discloses a method and a system for analyzing and predicting a vehicle stay behavior based on multi-task learning, and the method includes the following steps: acquiring vehicle GPS and OBD data including a vehicle ID, a travel start time, a start longitude, a start latitude, an end time, an end longitude, and an end latitude after desensitization; preprocessing vehicle GPS and OBD data to obtain vehicle stay behavior data including stay location and stay duration; extract a spatial-temporal characteristic of the preprocessed vehicle stay behavior data by a deep recurrent neural network; inputting the spatial-temporal characteristic into a multi-task learning and predicting network, and obtaining the correlation between a stay location prediction task and the stay duration prediction task based on the historical stay behavior of the vehicle through the multi-task learning and predicting network to predict the stay location and stay duration.