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    Slowdown detection
    41.
    发明授权
    Slowdown detection 有权

    公开(公告)号：US11721207B2

    公开(公告)日：2023-08-08

    申请号：US17665783

    申请日：2022-02-07

    Applicant: INRIX Inc.

    Inventor： David Mulcahy ,  Dominic Jason Jordan

    IPC: G08G1/01 ,  G06N3/08 ,  G08G1/052 ,  G06N7/01

    CPC classification number: G08G1/0141 ,  G06N3/08 ,  G06N7/01 ,  G08G1/0129 ,  G08G1/0133 ,  G08G1/052

    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.

    Vehicle application simulation environment
    42.
    发明授权
    Vehicle application simulation environment 有权

    公开(公告)号：US11294796B2

    公开(公告)日：2022-04-05

    申请号：US16884095

    申请日：2020-05-27

    Applicant: INRIX, INC.

    Inventor： Steven Timothy Ohmert

    IPC: G06F11/36 ,  G07C5/00 ,  G07C5/02

    Abstract: One or more techniques and/or systems are provided for facilitating simulation of an application used to access features of a vehicle. For example, an application developer may use an application development environment to develop an application that is used to display information through a vehicle display, obtain telemetry data from the vehicle, and/or modify vehicle features of the vehicle. However, the application development environment may not have real-time access to a vehicle (e.g., while the vehicle is being driven), which significantly reduces the ability to test the application. Accordingly, vehicle parameter signals may be simulated and provided to application code of the application (e.g., the application developer may specify a fan speed as “high”, preprogrammed vehicle speed data may be supplied to the application code, etc.). In this way, the application can be tested as though the application had access to an operational vehicle.

    PARKING SPACE ROUTING
    44.
    发明申请
    PARKING SPACE ROUTING 有权

    公开(公告)号：US20220027801A1

    公开(公告)日：2022-01-27

    申请号：US17498074

    申请日：2021-10-11

    Applicant: INRIX INC.

    Inventor： Samuel Eugene Gold Friedman ,  Alexander David Israel ,  Keith Matthew Hackbarth

    IPC: G06Q10/02 ,  G06Q10/06 ,  G01C21/34 ,  G01C21/36 ,  G05D1/00 ,  G05D1/02 ,  G06Q30/02 ,  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.

    TRAVEL SPEED PREDICTION
    45.
    发明申请
    TRAVEL SPEED PREDICTION 有权

    公开(公告)号：US20210326699A1

    公开(公告)日：2021-10-21

    申请号：US17158108

    申请日：2021-01-26

    Applicant: INRIX, Inc.

    Inventor： Andrew Davies ,  Dominic Jason Jordan

    IPC: G06N3/08 ,  G06N3/04

    Abstract: One or more techniques and/or systems are provided for travel speed prediction. A spatial context of a prediction segment of a travel network for which a speed prediction is to be made is identified. The spatial context comprises one or more segments of the travel network that are part of trajectories of objects passing through the predication segment and that have predicted likelihoods of influencing travel speed along the prediction segment above a threshold. Features of the spatial context are formatted into a format compatible for input into the model based upon a structure of the model. The features are input into the model for processing using machine learning functionality to output the speed prediction for the prediction segment.

    PARKING OCCUPANCY ESTIMATION
    46.
    发明申请
    PARKING OCCUPANCY ESTIMATION 审中-公开

    公开(公告)号：US20200027349A1

    公开(公告)日：2020-01-23

    申请号：US16524427

    申请日：2019-07-29

    Applicant: INRIX, Inc.

    Inventor： Christopher L. SCOFIELD

    IPC: G08G1/14 ,  G07B15/02 ,  G08G1/01 ,  G04B15/02

    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.

    Vehicle profile development
    48.
    发明授权
    Vehicle profile development 有权

    公开(公告)号：US10409893B2

    公开(公告)日：2019-09-10

    申请号：US15351756

    申请日：2016-11-15

    Applicant: INRIX INC.

    Inventor： Steven Timothy Ohmert

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

    Filtering road traffic condition data obtained from mobile data sources
    49.
    发明授权
    Filtering road traffic condition data obtained from mobile data sources 有权

    公开(公告)号：US10403130B2

    公开(公告)日：2019-09-03

    申请号：US15269203

    申请日：2016-09-19

    Applicant: INRIX INC.

    Inventor： Craig H. Chapman ,  Oliver B. Downs ,  Alec Barker ,  Mitchel A. Burns, Jr. ,  Scott R. Love

    IPC: G08G1/01 ,  G08G1/065 ,  G08G1/052 ,  G08G1/056 ,  H04W88/02

    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, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions 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 from the data samples. In some situations, the filtering of the data samples includes identifying data samples that are inaccurate or otherwise unrepresentative of actual traffic condition characteristics, such as data samples that are not of interest based at least in part on roads with which the data samples are associated and/or that otherwise reflect vehicle locations or activities that are not of interest.

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