公开(公告)号：US11908320B2

公开(公告)日：2024-02-20

申请号：US17961332

申请日：2022-10-06

Applicant: HERE GLOBAL B.V.

Inventor： James Fowe ,  Aditya Jadhav ,  Earl Hammond

IPC: G08G1/052 ,  G08G1/01 ,  H04W4/44 ,  H04W72/08 ,  H04L45/302 ,  H04W72/21 ,  H04W72/54

CPC classification number: G08G1/052 ,  G08G1/0116 ,  G08G1/0133 ,  G08G1/0145 ,  H04L45/3065 ,  H04W4/44 ,  H04W72/21 ,  H04W72/54

Abstract: A method, apparatus and computer program product are provided to define a strand upstream of a direction based traffic (DBT) link. In a method, a strand is defined upstream of a DBT link. The method includes extending the strand so as to include one or more links upstream of the DBT link. The strand is extended by determining whether a link is to be added to the strand based upon evaluation of a termination criteria. The termination criteria is at least partially based upon a relationship of a function class of the link to the function class of one or more other links. In an instance in which the termination criteria is satisfied, the method ceases further extension of the strand.

公开(公告)号：US11514780B2

公开(公告)日：2022-11-29

申请号：US16696464

申请日：2019-11-26

Applicant: HERE GLOBAL B.V.

Inventor： James Fowe ,  Aditya Balasaheb Jadhav ,  Earl Hammond

IPC: G08G1/052 ,  G08G1/01 ,  H04L12/725 ,  H04W72/04 ,  H04W72/08 ,  H04W4/44 ,  H04L45/302

Abstract: A method, apparatus and computer program product are provided to define a strand upstream of a direction based traffic (DBT) link. In a method, a strand is defined upstream of a DBT link. The method includes extending the strand so as to include one or more links upstream of the DBT link. The strand is extended by determining whether a link is to be added to the strand based upon evaluation of a termination criteria. The termination criteria is at least partially based upon a relationship of a function class of the link to the function class of one or more other links. In an instance in which the termination criteria is satisfied, the method ceases further extension of the strand.

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.