公开(公告)号：US20230067464A1

公开(公告)日：2023-03-02

申请号：US17410624

申请日：2021-08-24

Applicant: HERE Global B.V.

Inventor： David JONIETZ ,  Michael KOPP ,  Moritz NEUN ,  Bo XU ,  Ali SOLEYMANI

IPC: G08G1/01 ,  G06N20/00 ,  G06K9/62

Abstract: An approach is provided for end-to-end traffic estimation. The approach involves, for instance, retrieving probe data or other sensor data collected from sensors of devices traveling in a geographic area. The approach also involves optionally aggregating the probe or sensor data into a sequence of frames. Each frame comprises a plurality of spatial cells representing the geographic area at a respective time interval. The probe or sensor data is spatially and temporally binned into the spatial cells. The approach further involves initiating an offline pre-processing pipeline to associate the probe or sensor data with road segments of a geographic database and/or otherwise determining a ground-truth traffic state for each frame or sensor data. The approach further involves training a machine learning model using the ground-truth traffic state to determine a predicted traffic state directly from input frames or sensor data.