公开(公告)号：US20220198923A1

公开(公告)日：2022-06-23

申请号：US17132758

申请日：2020-12-23

Applicant: HERE GLOBAL B.V.

Inventor： James Fowe ,  Arun Mohapatro ,  Earl Hammond ,  Nazia Khan

IPC: G08G1/01

Abstract: A method, apparatus and computer program product are provided for determining a split lane traffic pattern for a road segment. In this regard, first traffic data for an upstream road segment of the road segment is aggregated based on a distribution of speeds associated with location probe points representative of travel of vehicles along the road segment. Furthermore, second traffic data for a first downstream road segment of the road segment is aggregated based on the distribution of speeds associated with the location probe points for the vehicles. Third traffic data for a second downstream road segment of the road segment is also aggregated based on the distribution of speeds associated with the location probe points for the vehicles. A traffic classification profile for the road segment is also determined based on statistical analysis of the first traffic data, the second traffic data and the third traffic data.

公开(公告)号：US20220198325A1

公开(公告)日：2022-06-23

申请号：US17132847

申请日：2020-12-23

Applicant: HERE GLOBAL B.V.

Inventor： James Fowe ,  Arun Mohapatro ,  Earl Hammond ,  Nazia Khan

IPC: G06N20/00 ,  G08G1/052 ,  G08G1/01 ,  G07C5/00 ,  G01C21/36

Abstract: A method, apparatus and computer program product are provided for predicting a split lane traffic pattern for a road segment. In this regard, first traffic data for an upstream road segment of the road segment is aggregated based on a distribution of speeds associated with location probe points representative of travel of vehicles along the road segment. Furthermore, second traffic data for a first downstream road segment of the road segment is aggregated based on the distribution of speeds associated with the location probe points for the vehicles. Third traffic data for a second downstream road segment of the road segment is also aggregated based on the distribution of speeds associated with the location probe points for the vehicles. Additionally, a machine learning model that predicts a traffic pattern is trained based on the first traffic data, the second traffic data and the third traffic data.