公开(公告)号：US10692370B2

公开(公告)日：2020-06-23

申请号：US15122750

申请日：2015-02-27

Applicant: INRIX INC.

Inventor： Judith Rosalyn Elgie ,  Dominic Jordan

IPC: G08G1/00 ,  G01C21/28 ,  G08G1/09 ,  H04W24/08 ,  H04W4/46 ,  G08G1/0967 ,  H04W4/50 ,  G06N20/00 ,  G06F16/29 ,  H04W4/024 ,  H04W4/029 ,  G08G1/01 ,  B60W40/08 ,  B60W40/09 ,  G07B15/06 ,  G08G1/0968 ,  G08G1/097 ,  B60W30/14 ,  G05D1/00 ,  G07C5/00 ,  A61B5/0205 ,  A61B5/0476 ,  A61B5/00 ,  G05D1/02 ,  H04B1/3822 ,  H04L29/08 ,  B64C39/02 ,  H04B7/185 ,  G06Q20/10 ,  G06Q30/02 ,  H04W12/08 ,  H04M15/00 ,  G06Q40/08 ,  H04L9/32 ,  B60R16/023 ,  G07B15/00 ,  G08G1/065 ,  G01C21/36 ,  H04W4/42 ,  H04W4/40 ,  G01C21/34 ,  G08G1/07 ,  G08G1/0962 ,  G08G1/0965 ,  H04W4/48 ,  A61B5/024 ,  A61B5/053 ,  G06Q50/30

Abstract: One or more techniques and/or systems are provided for training and/or utilizing a traffic obstruction identification model for identifying traffic obstructions based upon vehicle location point data. For example, a training dataset, comprising sample vehicle location points (e.g., global positioning system location points of vehicles) and traffic obstruction identification labels (e.g., locations of known traffic obstructions such as stop signs, crosswalks, stop lights, etc.), may be evaluated to extract a set of training features indicative of traffic flow patterns. The set of training features and the traffic obstruction identification labels may be used to train a traffic obstruction identification model to create a trained traffic obstruction identification model. The trained traffic obstruction identification model may be used to determine whether a road segment has a traffic obstruction or not.

公开(公告)号：US20200317200A1

公开(公告)日：2020-10-08

申请号：US16907472

申请日：2020-06-22

Applicant: INRIX INC.

Inventor： Judith Rosalyn Elgie ,  Dominic Jordan

IPC: B60W40/04 ,  H04W4/50 ,  G06N20/00 ,  G06F16/29 ,  H04W4/024 ,  H04W4/029 ,  G08G1/01 ,  B60W40/08 ,  B60W40/09 ,  G08G1/09 ,  G08G1/0967 ,  G07B15/06 ,  G08G1/0968 ,  G08G1/097 ,  H04W12/08 ,  B60W30/14 ,  G05D1/00 ,  G07C5/00 ,  A61B5/0205 ,  A61B5/0476 ,  A61B5/00 ,  G05D1/02 ,  H04B1/3822 ,  H04L29/08 ,  B64C39/02 ,  H04B7/185 ,  G06Q20/10 ,  G06Q30/02 ,  H04M15/00 ,  G06Q40/08 ,  H04L9/32 ,  B60R16/023 ,  G07B15/00 ,  G08G1/065 ,  G01C21/36 ,  H04W4/42 ,  H04W4/40 ,  G01C21/34 ,  G08G1/07 ,  G08G1/0962 ,  G08G1/0965

Abstract: One or more techniques and/or systems are provided for training and/or utilizing a traffic obstruction identification model for identifying traffic obstructions based upon vehicle location point data. For example, a training dataset, comprising sample vehicle location points (e.g., global positioning system location points of vehicles) and traffic obstruction identification labels (e.g., locations of known traffic obstructions such as stop signs, crosswalks, stop lights, etc.), may be evaluated to extract a set of training features indicative of traffic flow patterns. The set of training features and the traffic obstruction identification labels may be used to train a traffic obstruction identification model to create a trained traffic obstruction identification model. The trained traffic obstruction identification model may be used to determine whether a road segment has a traffic obstruction or not.

公开(公告)号：US20170076227A1

公开(公告)日：2017-03-16

申请号：US15122750

申请日：2015-02-27

Applicant: INRIX INC.,

Inventor： Judith Rosalyn Elgie ,  Dominic Jordan

IPC: G06N99/00 ,  G08G1/01

Abstract: One or more techniques and/or systems are provided for training and/or utilizing a traffic obstruction identification model for identifying traffic obstructions based upon vehicle location point data. For example, a training dataset, comprising sample vehicle location points (e.g., global positioning system location points of vehicles) and traffic obstruction identification labels (e.g., locations of known traffic obstructions such as stop signs, crosswalks, stop lights, etc.), may be evaluated to extract a set of training features indicative of traffic flow patterns. The set of training features and the traffic obstruction identification labels may be used to train a traffic obstruction identification model to create a trained traffic obstruction identification model. The trained traffic obstruction identification model may be used to determine whether a road segment has a traffic obstruction or not.

Abstract translation: 提供一种或多种技术和/或系统用于基于车辆位置点数据来训练和/或利用用于识别交通障碍物的交通障碍物识别模型。 例如，训练数据集包括车辆位置点（例如，车辆的全球定位系统位置点）和交通障碍物识别标签（例如，已知交通障碍物的位置，例如停车标志，人行横道，停车灯等） 可以被评估以提取一组指示交通流模式的训练特征。 训练特征和交通阻塞识别标签可用于训练交通阻塞识别模型，以创建训练有素的交通阻塞识别模型。 可以使用经过训练的交通障碍物识别模型来确定道路段是否具有交通阻塞。