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公开(公告)号：US09437107B2
公开(公告)日：2016-09-06
申请号：US13838685
申请日：2013-03-15
Applicant: INRIX, Inc.
Inventor： Christopher L. Scofield , Mark Daymond
IPC: G06F19/00 , G06G7/70 , G06G7/76 , G08G1/00 , G01C21/34 , G08G1/0967 , G08G1/0968 , G08G1/01
CPC classification number: G08G1/00 , G01C21/3461 , G01C21/3492 , G08G1/0129 , G08G1/0133 , G08G1/096741 , G08G1/096775 , G08G1/096844 , G08G1/096888
Abstract: One or more techniques and/or systems are provided for to creating an avoidance zone spatially proximate a venue, where the avoidance zone is created based upon identifying road segments where increased traffic congestion is expected due to an event at the venue. Information pertaining to the avoidance zone, such as a description of road segments to avoid and/or expected travel delays, may be provided to a route planner configured to develop vehicle routes. In this way, the route planner can take into consideration the impact of events on one or more road segments when planning a route.
Abstract translation: 一个或多个技术和/或系统被提供用于在空间上创建在场地附近的回避区域，其中基于识别由于场地处的事件而预期增加的交通拥堵的路段而创建避免区域。 可以向被配置为开发车辆路线的路线规划器提供与避免区有关的信息，例如要避免的路段的描述和/或预期的行进延迟。 以这种方式，路线规划者可以在规划路线时考虑事件对一个或多个路段的影响。
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公开(公告)号：US09280894B2
公开(公告)日：2016-03-08
申请号：US14510937
申请日：2014-10-09
Applicant: Inrix, Inc.
Inventor： Craig H. Chapman , Kush G. Parikh , Oliver B. Downs , Robert C. Cahn , Jesse S. Hersch
IPC: G08G1/00 , G01C21/00 , G01C21/36 , G08G1/01 , G08G1/0968
CPC classification number: G08G1/00 , G01C21/3691 , G08G1/0104 , G08G1/0112 , G08G1/0116 , G08G1/012 , G08G1/0129 , G08G1/0133 , G08G1/0141 , G08G1/0968
Abstract: Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).
Abstract translation: 描述了用于基于获得的交通相关数据（例如来自车辆的数据样本和在道路上行进的其他移动数据源和/或来自一个或多个其他来源（例如靠近 或嵌入道路）。 基于获得的数据样本的道路交通状况评估可以包括数据样本的各种过滤和/或调节，以及来自数据样本的关注的交通相关特征的各种推断和概率确定。 在某些情况下，推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性，例如确定平均交通速度，交通量和/或占用，并且包括加权 各种数据样本以各种方式（例如，基于数据样本的延迟和/或数据样本的来源）。
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公开(公告)号：US09211891B2
公开(公告)日：2015-12-15
申请号：US13957552
申请日：2013-08-02
Applicant: INRIX Inc.
Inventor： Christopher L. Scofield , Scott Marshall Sedlik
CPC classification number: B60W40/09 , B60W50/14 , B60W2540/30 , F16H2059/003 , F16H2063/426 , G01C21/3697 , G06Q50/30 , G07C5/0816 , G08G1/0112 , G08G1/0129 , G08G1/096716 , G08G1/096741 , G08G1/096775
Abstract: In many vehicular control contexts, a vehicle may monitor the vehicle input control from a driver to detect warning conditions that entail a warning to the user and/or an automatic mitigating action (e.g., detecting hard braking that causes brake lockup, and automatically activating anti-lock braking). Warning and mitigation techniques may address the instant driving conditions, but may not the user driving behavior that caused the condition (e.g., a driving style of the user that resulted in hard braking, such as excessive speed for current driving conditions). Presented herein are techniques for monitoring the user driving behavior of the user in various driving contexts, and presenting driving suggestions of alternative driving behaviors providing advantages over the current user driving behavior of the user. The presentation of the alternative driving behaviors to the user may facilitate changes in user driving behavior that improve the safety, efficiency, and/or comfort of the driving experience.
Abstract translation: 在许多车辆控制环境中，车辆可以监视来自驾驶员的车辆输入控制，以检测对用户发出警告的警告状况和/或自动减轻动作（例如，检测引起制动锁定的硬制动，并且自动激活反作用力 锁定制动）。 警告和缓解技术可以解决即时驾驶状况，但是用户驾驶行为可能不会导致条件（例如，导致硬制动的用户的驾驶风格，例如当前行驶条件的速度过快）。 这里提出的是用于在各种驾驶环境中监视用户驾驶行为的技术，以及提供替代驾驶行为的驾驶建议，提供优于用户当前用户驾驶行为的优点。 将替代驾驶行为呈现给用户可以促进用户驾驶行为的改变，从而改善驾驶体验的安全性，效率和/或舒适性。
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公开(公告)号：US20150035666A1
公开(公告)日：2015-02-05
申请号：US13957552
申请日：2013-08-02
Applicant: INRIX Inc.
Inventor： Christopher L. Scofield , Scott Marshall Sedlik
CPC classification number: B60W40/09 , B60W50/14 , B60W2540/30 , F16H2059/003 , F16H2063/426 , G01C21/3697 , G06Q50/30 , G07C5/0816 , G08G1/0112 , G08G1/0129 , G08G1/096716 , G08G1/096741 , G08G1/096775
Abstract: In many vehicular control contexts, a vehicle may monitor the vehicle input control from a driver to detect warning conditions that entail a warning to the user and/or an automatic mitigating action (e.g., detecting hard braking that causes brake lockup, and automatically activating anti-lock braking). Warning and mitigation techniques may address the instant driving conditions, but may not the user driving behavior that caused the condition (e.g., a driving style of the user that resulted in hard braking, such as excessive speed for current driving conditions). Presented herein are techniques for monitoring the user driving behavior of the user in various driving contexts, and presenting driving suggestions of alternative driving behaviors providing advantages over the current user driving behavior of the user. The presentation of the alternative driving behaviors to the user may facilitate changes in user driving behavior that improve the safety, efficiency, and/or comfort of the driving experience.
Abstract translation: 在许多车辆控制环境中，车辆可以监视来自驾驶员的车辆输入控制，以检测对用户发出警告的警告状况和/或自动减轻动作（例如，检测引起制动锁定的硬制动，并且自动激活反作用力 锁定制动）。 警告和缓解技术可以解决即时驾驶状况，但是用户驾驶行为可能不会导致条件（例如，导致硬制动的用户的驾驶风格，例如当前行驶条件的速度过快）。 这里提出的是用于在各种驾驶环境中监视用户驾驶行为的技术，以及提供替代驾驶行为的驾驶建议，提供优于用户当前用户驾驶行为的优点。 将替代驾驶行为呈现给用户可以促进用户驾驶行为的改变，从而改善驾驶体验的安全性，效率和/或舒适性。
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公开(公告)号：US08909463B2
公开(公告)日：2014-12-09
申请号：US14170179
申请日：2014-01-31
Applicant: Inrix, Inc.
Inventor： Craig H. Chapman , Kush G. Parikh , Oliver B. Downs , Robert C. Cahn
IPC: G06G7/76 , G08G1/00 , G08G1/01 , G01C21/36 , G08G1/0968
CPC classification number: G08G1/00 , G01C21/3691 , G08G1/0104 , G08G1/0112 , G08G1/0116 , G08G1/012 , G08G1/0129 , G08G1/0133 , G08G1/0141 , G08G1/0968
Abstract: Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).
Abstract translation: 描述了用于基于获得的交通相关数据（例如来自车辆的数据样本和在道路上行进的其他移动数据源和/或来自一个或多个其他来源（例如靠近 或嵌入道路）。 基于获得的数据样本的道路交通状况评估可以包括数据样本的各种过滤和/或调节，以及来自数据样本的关注的交通相关特征的各种推断和概率确定。 在某些情况下，推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性，例如确定平均交通速度，交通量和/或占用，并且包括加权 各种数据样本以各种方式（例如，基于数据样本的延迟和/或数据样本的来源）。
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Patent Agency Ranking
公开(公告)号：US08880324B2
公开(公告)日：2014-11-04
申请号：US14170127
申请日：2014-01-31
Applicant: Inrix, Inc.
Inventor： Craig H. Chapman , Kush G. Parikh , Oliver B. Downs , Robert C. Cahn , Jesse S. Hersch
IPC: G06G7/76 , G08G1/00 , G01C21/36 , G08G1/01 , G08G1/0968
CPC classification number: G08G1/00 , G01C21/3691 , G08G1/0104 , G08G1/0112 , G08G1/0116 , G08G1/012 , G08G1/0129 , G08G1/0133 , G08G1/0141 , G08G1/0968
Abstract: Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).
Abstract translation: 描述了用于基于获得的交通相关数据（例如来自车辆的数据样本和在道路上行进的其他移动数据源和/或来自一个或多个其他来源（例如靠近 或嵌入道路）。 基于获得的数据样本的道路交通状况评估可以包括数据样本的各种过滤和/或调节，以及来自数据样本的关注的交通相关特征的各种推断和概率确定。 在某些情况下，推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性，例如确定平均交通速度，交通量和/或占用，并且包括加权 各种数据样本以各种方式（例如，基于数据样本的延迟和/或数据样本的来源）。
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公开(公告)号：US20140149028A1
公开(公告)日：2014-05-29
申请号：US14170179
申请日：2014-01-31
Applicant: Inrix, Inc.
Inventor： Craig H. Chapman , Kush G. Parikh , Oliver B. Downs , Robert C. Cahn , Jesse S. Hersch
IPC: G08G1/00
CPC classification number: G08G1/00 , G01C21/3691 , G08G1/0104 , G08G1/0112 , G08G1/0116 , G08G1/012 , G08G1/0129 , G08G1/0133 , G08G1/0141 , G08G1/0968
Abstract: Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).
Abstract translation: 描述了用于基于获得的交通相关数据（例如来自车辆的数据样本和在道路上行进的其他移动数据源和/或来自一个或多个其他来源（例如靠近 或嵌入道路）。 基于获得的数据样本的道路交通状况评估可以包括数据样本的各种过滤和/或调节，以及来自数据样本的关注的交通相关特征的各种推断和概率确定。 在某些情况下，推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性，例如确定平均交通速度，交通量和/或占用，并且包括加权 各种数据样本以各种方式（例如，基于数据样本的延迟和/或数据样本的来源）。
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公开(公告)号：US11900279B2
公开(公告)日：2024-02-13
申请号：US17498074
申请日：2021-10-11
Applicant: INRIX INC.
IPC: G06Q10/02 , G06Q10/0631 , G01C21/34 , G01C21/36 , G05D1/00 , G05D1/02 , G06Q30/0283 , G06Q30/08
CPC classification number: G06Q10/02 , G01C21/3407 , G01C21/3453 , G01C21/3685 , G05D1/0088 , G05D1/0278 , G06Q10/0631 , G06Q30/0284 , G06Q30/08
Abstract: One or more techniques and/or systems are provided for parking space routing. For example, parking data for a parking region, such as a parking lot, may be obtained from one or more data sources (e.g., vehicle sensor data, a parking lot camera, parking meter transaction data, etc.). Routes from a current location of a vehicle to available parking spaces within the parking region may be computed. The routes may be ranked based upon various criteria, such as convenience, congestion, travel time, travel distance, a parking space fill order, etc. A route, having a rank above a threshold (e.g., a highest ranked route), may be provided to a driver of the vehicle, such as through a vehicle navigation unit, a mobile device, a wearable device, etc. The route may be provided to autonomous driving functionality of the vehicle for automatic routing and navigation of the vehicle to the parking space.
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公开(公告)号：US11738768B2
公开(公告)日：2023-08-29
申请号：US17341538
申请日：2021-06-08
Applicant: INRIX, Inc.
Inventor： Christopher L. Scofield
CPC classification number: B60W50/14 , B60K28/00 , B60W60/0053 , G05D1/0061 , G06V20/597 , G08G1/096725 , G08G1/096791 , G08G1/163 , G08G1/165 , B60W2040/0872 , B60W2050/143 , B60W2540/22 , B60W2554/00 , G05D2201/0213
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.
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公开(公告)号：US11282379B2
公开(公告)日：2022-03-22
申请号：US16525658
申请日：2019-07-30
Applicant: INRIX Inc.
Inventor： David Mulcahy , Dominic Jason Jordan
Abstract: One or more techniques and/or systems are provided for slowdown detection. Location data received from vehicles traveling a road is evaluated to identify a road segment associated with vehicle speeds below a threshold. A space-time diagram is generated, and location data associated with vehicles traveling the road segment are plotted within the space-time diagram. The space-time diagram is processed using a convolutional neural network to determine a probability that the space-time diagram illustrates a slowdown. If the probability that the space-time diagram illustrates the slowdown is greater than a threshold, then a notification of the slowdown is transmitted to one or more computing devices associated with vehicles that may encounter the slowdown.
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