VEHICLE MOBILITY PATTERNS BASED ON USER LOCATION DATA

    公开(公告)号:WO2023023149A1

    公开(公告)日:2023-02-23

    申请号:PCT/US2022/040591

    申请日:2022-08-17

    Abstract: Methods, computer-readable media, software, and system may generally build and quantify mobility patterns based on user location data, both at an individual level and an aggregate level. The system may determine the origin and destination data for each trip taken by a user. The system may then define areas of mobility using a mobility graph built from the data. The graph may include nodes and edges. In some examples, the nodes are constructed from the origins and destinations of the trajectories using spatial clustering techniques. Further, the edges between nodes may be constructed based on the trips between them, such as two nodes are connected by an edge if there is at least one trip between them. The edges may be given different weights based on trip frequencies. The system may then determine a region of mobility using the generated mobility graph and data clustering techniques.

    SAFE LOGON
    3.
    发明申请
    SAFE LOGON 审中-公开

    公开(公告)号:WO2021015957A1

    公开(公告)日:2021-01-28

    申请号:PCT/US2020/041431

    申请日:2020-07-09

    Abstract: Methods, computer-readable media, software, and apparatuses are provided to assist a user and vendor in completing an online trusted transaction. Trusted vendor websites are verified and user identities are confirmed through a cyber-security safe logon credentialing system. The vendor can be confident that the user identity has been verified to be who they say they are and the user can be confident that they are using a trusted verified vendor website.

    PROCESSING SYSTEM HAVING A MACHINE LEARNING ENGINE FOR PROVIDING A COMMON TRIP FORMAT (CTF) OUTPUT

    公开(公告)号:WO2019199493A1

    公开(公告)日:2019-10-17

    申请号:PCT/US2019/024865

    申请日:2019-03-29

    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.

    DATA PROCESSING SYSTEM WITH MACHINE LEARNING ENGINE FOR PROVIDING DRIVING DATA ANALYSIS AND VEHICLE CONTROL FUNCTIONS

    公开(公告)号:WO2019070473A1

    公开(公告)日:2019-04-11

    申请号:PCT/US2018/052815

    申请日:2018-09-26

    Abstract: Systems and apparatuses for using machine learning to generate a safety output are provided. In some examples, data may be received from a plurality of sources, may be analyzed and one or more machine learning datasets may be generated based on the analyzed data. In some arrangements, data may be received from one or more vehicles. The vehicles may be autonomous, semi-autonomous, or non-autonomous, and/or configured to operate in one or more of those modes. The data may be evaluated based on the one or more machine learning datasets to determine a safety output associated with the data. The safety output may then be used to classify the data and/or to generate one or more instructions for operation of an autonomous vehicle. The instruction(s) may be transmitted to the autonomous vehicle and may modify operation of the vehicle (e.g., to improve safety associated with the vehicle).

    FACILITATING CROSS-PLATFORM TRANSPORTATION ARRANGEMENTS WITH THIRD PARTY PROVIDERS

    公开(公告)号:WO2019051045A1

    公开(公告)日:2019-03-14

    申请号:PCT/US2018/049691

    申请日:2018-09-06

    CPC classification number: G06Q50/30 G06Q20/10 G06Q30/0645 G06Q50/26

    Abstract: Aspects of the disclosure relate to facilitating cross-platform transportation arrangements with third party providers. In some instances, a first computing transportation may scrape information from one or more third party computing devices. The first computing device may populate a transportation arrangement resource shell with the scraped information from the one or more third party computing devices. In response to populating the transportation arrangement resource shell, the first computing device may retrieve stored data corresponding to visual elements of the first computing device. Using the retrieved data, the first computing device may generate a composite rendering that provides information associated with the one or more third party computing devices with visually perceptible elements of the retrieved data corresponding to the first computing device.

Patent Agency Ranking