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公开(公告)号:US20140278032A1
公开(公告)日:2014-09-18
申请号:US13839039
申请日:2013-03-15
Applicant: INRIX, INC.
Inventor: Christopher L. Scofield
IPC: G01C21/34
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.
Abstract translation: 提供一种或多种技术和/或系统,用于为目前经历交通拥堵和/或可能在未来经历交通拥堵的道路段提供拥堵信息。 在一些实施例中,业务模型被配置为确定可能发生业务拥塞的路段,以确定业务拥塞的原因和/或确定这种业务拥塞的影响(例如,这种业务拥塞的持续时间, 由于这种交通拥堵等导致的预期时间延迟等)。 例如,可以向用户提供指示拥塞原因的拥塞信息和/或这种交通拥堵的效果,以向用户解释为什么发生拥塞,以描述一个或多个路段以避免 ,和/或解释为什么选择特定路线作为到目的地的优选路线。
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公开(公告)号:US20130289862A1
公开(公告)日:2013-10-31
申请号:US13923273
申请日:2013-06-20
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:US20240361127A1
公开(公告)日:2024-10-31
申请号:US18765735
申请日:2024-07-08
Applicant: INRIX Inc.
Inventor: Indra PURI , Linjun ZHOU , William M. HSU , Dominic Jason JORDAN , Patchrawat UTHAISOMBUT , Douglas IRVINE
CPC classification number: G01C21/20 , B60W30/06 , G01C21/3461 , G01C21/3691 , G05D1/646 , G08G1/141
Abstract: Contemporary navigation systems are often tasked with routing a vehicle to a destination, but are poorly equipped to assist with finding a vacancy of a parking opportunity in which the vehicle may be parked. Static information, such as enumeration of parking garages and curbside parking meters, may be frustrating if such parking opportunities have no vacancies. The determination of vacancies with certainty may be difficult to achieve due to the characteristic volatility of parking, in which vacancies may be taken in seconds. Presented herein are navigation device configurations involving probabilistic evaluation of parking routes in a vicinity of a destination that may be generated and compared, optionally weighted by various factors, to identify a parking route with parking opportunities that collectively present a high probability of vacancy as compared with other parking routes, which may be presented to the user and/or appended to a current route of an autonomous vehicle.
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公开(公告)号:US12031827B2
公开(公告)日:2024-07-09
申请号:US17580826
申请日:2022-01-21
Applicant: INRIX Inc.
Inventor: Indra Puri , Linjun Zhou , William M Hsu , Dominic Jason Jordan , Patchrawat Uthaisombut , Douglas Irvine
CPC classification number: G01C21/20 , B60W30/06 , G01C21/3461 , G01C21/3691 , G05D1/0212 , G08G1/141
Abstract: Contemporary navigation systems are often tasked with routing a vehicle to a destination, but are poorly equipped to assist with finding a vacancy of a parking opportunity in which the vehicle may be parked. Static information, such as enumeration of parking garages and curbside parking meters, may be frustrating if such parking opportunities have no vacancies. The determination of vacancies with certainty may be difficult to achieve due to the characteristic volatility of parking, in which vacancies may be taken in seconds. Presented herein are navigation device configurations involving probabilistic evaluation of parking routes in a vicinity of a destination that may be generated and compared, optionally weighted by various factors, to identify a parking route with parking opportunities that collectively present a high probability of vacancy as compared with other parking routes, which may be presented to the user and/or appended to a current route of an autonomous vehicle.
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公开(公告)号:US11373459B2
公开(公告)日:2022-06-28
申请号:US15351681
申请日:2016-11-15
Applicant: INRIX INC.
Inventor: Steven Timothy Ohmert
Abstract: One or more techniques and/or systems are provided for facilitating communication between a program and a vehicle computing device of a vehicle. For example, a vehicle profile may be used as an intermediary abstraction layer between the program (e.g., hosted on a mobile device, hosted on a vehicle navigation unit, etc.) and the vehicle computing device. The vehicle profile may provide data formatting functionality to enable communication and interaction because the program and the vehicle computing device may utilize different data formats, communication protocols, and/or functions. The vehicle profile may specify what information the program is allowed to access and/or what features of the vehicle are allowed to be modified by the program. The vehicle profile may determine how information can be displayed by the program through a vehicle display. Communication may be facilitated between the program, the vehicle computing device, and/or a remote device such as a cloud service.
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公开(公告)号:US20220157163A1
公开(公告)日:2022-05-19
申请号:US17665783
申请日:2022-02-07
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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公开(公告)号:US11144848B2
公开(公告)日:2021-10-12
申请号:US15336966
申请日:2016-10-28
Applicant: INRIX INC.
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:US20210174681A1
公开(公告)日:2021-06-10
申请号:US17101456
申请日:2020-11-23
Applicant: INRIX, Inc.
Inventor: Christopher L. Scofield
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.
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公开(公告)号:US10803747B2
公开(公告)日:2020-10-13
申请号:US16509571
申请日:2019-07-12
Applicant: INRIX, INC.
Inventor: David DiMeo , Andreas Hecht
IPC: B60W40/00 , G08G1/0967 , H04W4/50 , G06N20/00 , G06F16/29 , H04W4/024 , H04W4/029 , G08G1/01 , B60W40/08 , B60W40/09 , G08G1/09 , 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: Users within transit in a vehicle may initiate location queries to fulfill a set of interests, such as stops for food, fuel, and lodging. A device may fulfill the queries according to various factors, such as the distance of nearby locations to the user or to another location specified by the user, and the popularity of various locations. However, the user may not have specified or even chosen a route, and may wish to have interests fulfilled at a later time (e.g., stopping for food in 30 minutes), and a presentation of search results near the user's current location may be unhelpful. Presented herein are techniques for fulfilling location queries that involve predicting a route of the user, and identifying a timing window for the query results (e.g., locations that are likely to be near the user's projected location when the wishes to stop for food in 30 minutes).
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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.
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