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    VEHICLE PROFILE DEVELOPMENT
    101.
    发明申请
    VEHICLE PROFILE DEVELOPMENT 审中-公开

    公开(公告)号：US20180137088A1

    公开(公告)日：2018-05-17

    申请号：US15351756

    申请日：2016-11-15

    Applicant: INRIX INC.

    Inventor： Steven Timothy Ohmert

    IPC: G06F17/21 ,  H04L29/08 ,  G06F3/0481 ,  G06F3/0484 ,  B60K35/00

    CPC classification number: G06F17/211 ,  B60K35/00 ,  B60K2370/186 ,  B60K2370/589 ,  G06F3/04817 ,  G06F3/04845 ,  H04L67/12 ,  H04W4/40

    Abstract: One or more techniques and/or systems are provided for developing and facilitating the development of a vehicle profile for a vehicle. An application developer may experience difficulty when developing applications that are to interact with a vehicle computing device of a vehicle due to proprietary software, communication protocols, data formats, etc. Accordingly, a vehicle profile may be developed to act as an intermediary abstraction layer between the application and the vehicle computing device. A profile developer can define how to process certain types of input from the application, what vehicle signal information can be accessed by the application, how information such as a user interface of the application is to be displayed such as through a vehicle navigation unit, what vehicle parameters can be modified by the application, etc. In this way, the application can interact with the vehicle computing device through the vehicle profile.

    Parking occupancy estimation
    103.
    发明授权
    Parking occupancy estimation 有权

    公开(公告)号：US09672741B2

    公开(公告)日：2017-06-06

    申请号：US14733018

    申请日：2015-06-08

    Applicant: INRIX Inc.

    Inventor： Christopher L. Scofield

    IPC: G08G1/14 ,  G04B15/02 ,  G08G1/01

    CPC classification number: G08G1/141 ,  G04B15/02 ,  G07B15/02 ,  G08G1/0112 ,  G08G1/0116 ,  G08G1/012 ,  G08G1/0129 ,  G08G1/0141 ,  G08G1/143 ,  G08G1/144 ,  G08G1/147

    Abstract: One or more techniques and/or systems are provided for estimating parking occupancy. For a paid parking period, parking meter transaction data may be acquired for a parking meter encompassed by a zone of one or more parking spaces. The parking meter transaction data may be evaluated to determine status data, such as an estimation of whether one or more parking spaces are available, occupied, and/or will become available. A parking occupancy, indicative of a likelihood of available parking spaces, may be estimated based upon the status data. For a free parking period, the parking occupancy may be estimated based upon vehicle flow data that is indicative of vehicles entering, parking, and/or leaving the one or more parking spaces. In this way, the parking occupancy may be provided to a driver to mitigate wasted time and/or gas otherwise spent searching for an available parking space.

    Traffic causality
    105.
    发明授权
    Traffic causality 有权

    公开(公告)号：US09601009B2

    公开(公告)日：2017-03-21

    申请号：US14626315

    申请日：2015-02-19

    Applicant: INRIX, Inc.

    Inventor： Christopher L. Scofield

    IPC: G01C21/34 ,  G08G1/00 ,  G08G1/01 ,  G08G1/0967

    CPC classification number: G08G1/00 ,  G01C21/3492 ,  G08G1/0129 ,  G08G1/0133 ,  G08G1/0141 ,  G08G1/096741 ,  G08G1/096775

    Abstract: One or more techniques and/or systems for providing congestion information for a road segment presently experiencing traffic congestion and/or likely to experience traffic congestion in the future are provided. In some embodiments, traffic models are configured to determine road segments where traffic congestion is likely to occur, to determine a cause of traffic congestion, and/or to determine the effect of such traffic congestion (e.g., the duration of such traffic congestion, the expected time delays due to such traffic congestion, etc.). Congestion information indicative of the cause of congestion and/or the effect(s) of such traffic congestion, for example, may be provided to a user to explain to the user why the congestion is occurring, to describe one or more road segments to avoid, and/or to explain why a particular route was selected as a preferred route to a destination, for example.

    TRAFFIC OBSTRUCTION DETECTION
    106.
    发明申请
    TRAFFIC OBSTRUCTION DETECTION 审中-公开
    交通障碍检测

    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。

    MANUAL VEHICLE CONTROL NOTIFICATION
    108.
    发明申请
    MANUAL VEHICLE CONTROL NOTIFICATION 审中-公开
    手动车辆控制通知

    公开(公告)号：US20170066452A1

    公开(公告)日：2017-03-09

    申请号：US14845356

    申请日：2015-09-04

    Applicant: INRIX Inc.

    Inventor： Christopher L. Scofield

    IPC: B60W50/14 ,  G05D1/00

    CPC classification number: B60W50/14 ,  B60K28/00 ,  B60W2050/143 ,  B60W2540/22 ,  B60W2550/10 ,  G05D1/0061 ,  G05D2201/0213 ,  G08G1/096725 ,  G08G1/096791 ,  G08G1/163 ,  G08G1/165

    Abstract: One or more techniques and/or systems are provided for notifying drivers to assume manual vehicle control of vehicles. For example, sensor data is acquired from on-board vehicles sensors (e.g., radar, sonar, and/or camera imagery of a crosswalk) of a vehicle that is in an autonomous driving mode. In an example, the sensor data is augmented with driving condition data aggregated from vehicle sensor data of other vehicles (e.g., a cloud service collects and aggregates vehicle sensor data from vehicles within the crosswalk to identify and provide the driving condition data to the vehicle). The sensor data (e.g., augmented sensor data) is evaluated to identify a driving condition of a road segment, such as the crosswalk (e.g., pedestrians protesting within the crosswalk). Responsive to the driving condition exceeding a complexity threshold for autonomous driving decision making functionality, a driver alert to assume manual vehicle control may be provided to a driver.

    Abstract translation: 提供了一种或多种技术和/或系统，用于通知驾驶员承担车辆的手动车辆控制。 例如，传感器数据从处于自主驾驶模式的车辆的车载车辆传感器（例如，人行横道的雷达，声纳和/或摄像机图像）获取。 在一个示例中，传感器数据被增加，其中车辆传感器数据从其他车辆（例如，云服务收集和聚集来自人行横道内的车辆的车辆传感器数据聚集的驾驶状况数据）来识别并向车辆提供驾驶状况数据） 。 评估传感器数据（例如，增强的传感器数据）以识别诸如人行横道（例如，在人行横道内的行人抗议）的路段的驾驶状况。 响应于超过自主驾驶决策功能的复杂性阈值的驾驶状况，可以向驾驶员提供假定手动车辆控制的驾驶员警报。

    ITINERARY GENERATION AND ADJUSTMENT SYSTEM
    109.
    发明申请
    ITINERARY GENERATION AND ADJUSTMENT SYSTEM 有权
    行政生成和调整制度

    公开(公告)号：US20170059337A1

    公开(公告)日：2017-03-02

    申请号：US14842120

    申请日：2015-09-01

    Applicant: INRIX Inc.

    Inventor： Alec Barker ,  Cory Bradshaw

    IPC: G01C21/34 ,  G01C21/36 ,  G06F17/30

    CPC classification number: G01C21/343 ,  G01C21/3415 ,  G01C21/362 ,  G01C21/3697 ,  G06F17/30241 ,  G06F17/30345 ,  G06F17/30876 ,  G06Q10/00 ,  G06Q10/047 ,  G06Q90/20

    Abstract: One or more techniques and/or systems are provided for routing a user between events using an itinerary. An event source (e.g., electronic calendar) may be assessed to identify event information (e.g., event locations) for events (e.g., meetings). The event information may be evaluated to determine a schedule of events. Routes between events within the schedule may be identified to determine route information (e.g., predicted travel times) for the routes. The event information and the route information may be evaluated to generate an itinerary of events. In an example, a constraint may be identified (e.g., a traffic accident along a route). The constraint may be evaluated to determine an impact (e.g., a user arriving to the meeting event late) of the constraint on the itinerary. Responsive to the impact exceeding an adjustment threshold, the itinerary may be adjusted (e.g., modifying a route between one or more events to avoid the accident).

    Abstract translation: 提供一个或多个技术和/或系统用于在使用行程的事件之间路由用户。 可以评估事件源（例如，电子日历）以识别事件（例如，会议）的事件信息（例如，事件位置）。 可以评估事件信息以确定事件的时间表。 可以识别时间表内的事件之间的路线，以确定路线的路线信息（例如，预计行驶时间）。 可以评估事件信息和路线信息以产生事件的行程。 在一个示例中，可以识别约束（例如，沿着路线的交通事故）。 可以评估约束以确定行程上约束的影响（例如，到达会议事件的用户的晚）。 响应于超过调整阈值的影响，可以调整行程（例如，修改一个或多个事件之间的路线以避免事故）。

    DRIVER MOVEMENT ANALYSIS
    110.
    发明申请
    DRIVER MOVEMENT ANALYSIS 审中-公开
    驱动运动分析

    公开(公告)号：US20160364739A1

    公开(公告)日：2016-12-15

    申请号：US14734419

    申请日：2015-06-09

    Applicant: INRIX, Inc.

    Inventor： Steve Dann ,  Uri Lavee

    IPC: G06Q30/02 ,  G08G1/00

    CPC classification number: G06Q30/0205 ,  G01C21/00 ,  G08G1/0112 ,  G08G1/0129 ,  G08G1/015 ,  G08G1/017 ,  G08G1/065 ,  G08G1/207

    Abstract: One or more techniques and/or systems are provided for analyzing driver movement. For example, map data is evaluated to identify a point of interest such as a car dealership. A geofence zone is defined to encompass the point of interest within the map (e.g., the car dealership, a parking lot for the car dealership, etc.). Location data, such as global positioning system data, of vehicles is evaluated to determine a count of vehicles that encountered the geofence zone. A visitor count of drivers that visited the car dealership is determined based upon the count of vehicles (e.g., vehicles that remained within the geofence zone for a threshold amount of time indicative of a visit). Driver demographics, vehicle type distributions, and/or other information is determined for the point of interest and/or other points of interest (e.g., distributions of vehicle types that visit the car dealership compared to a local body shop).

    Abstract translation: 提供一个或多个技术和/或系统用于分析驾驶员的运动。 例如，评估地图数据以识别诸如汽车经销商之类的兴趣点。 地理围栏区被定义为包括地图内的兴趣点（例如，汽车经销商，汽车经销商的停车场等）。 评估车辆的位置数据，例如全球定位系统数据，以确定遇到地理围栏区域的车辆的数量。 根据车辆数量（例如，在地理围栏区域内停留指示访问的阈值时间量）的车辆数量来确定访问汽车经销商的驾驶员的访问者数量。 针对感兴趣点和/或其他兴趣点确定驾驶员人口统计特征，车辆类型分布和/或其他信息（例如，与当地车主店相比，访问汽车经销商的车辆类型的分布）。

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