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    ROUTING RECOMMENDATION SYSTEM BASED ON USER ACTIVITIES
    2.
    发明申请
    ROUTING RECOMMENDATION SYSTEM BASED ON USER ACTIVITIES 有权

    公开(公告)号：US20240401961A1

    公开(公告)日：2024-12-05

    申请号：US18326674

    申请日：2023-05-31

    Applicant: GM CRUISE HOLDINGS LLC

    Inventor： Moorissa Tjokro

    IPC: G01C21/34 ,  G01C21/36 ,  G06Q10/02 ,  G06Q50/30

    Abstract: Disclosed are embodiments for facilitating a routing recommendation system based on user activities. In some aspects, an embodiment includes receiving input data comprising a list of activities requested by a user of an autonomous vehicle (AV) ride-hailing service and a point of destination requested by the user; mapping locations of interest corresponding to the list of activities; generating an ordered list of the locations of interest based on a user profile and historical data of the user; supplementing the ordered list of the locations of interest based on other historical data of other users of the AV ride-hailing service to generate a recommended list of places; applying a K-means clustering technique to the recommended list of places to identify one or more sets of recommendations and a centroid location for each set of recommendations; and providing a routing recommendation corresponding to a selected set of the sets of recommendations.

    METHOD AND SYSTEM OF TRAINING OF CHAINED NEURAL NETWORKS FOR DELAY PREDICTION IN TRANSIT NETWORKS
    3.
    发明公开
    METHOD AND SYSTEM OF TRAINING OF CHAINED NEURAL NETWORKS FOR DELAY PREDICTION IN TRANSIT NETWORKS 审中-公开

    公开(公告)号：US20240330787A1

    公开(公告)日：2024-10-03

    申请号：US18493639

    申请日：2023-10-24

    Applicant: Tata Consultancy Services Limited

    Inventor： Rohith REGIKUMAR ,  Priyanga KASTHURIRAJAN ,  Arvind RAMANUJAM ,  Rajesh JAYAPRAKASH

    IPC: G06Q10/04 ,  G06Q50/30

    CPC classification number: G06Q10/04 ,  G06Q50/40

    Abstract: State of the art approaches for training chained neural network models for delay prediction train the data models using only real data and not predicted data. Such models when used in a chained way leads to worse results as they are not exposed to predicted data during training. This leads to the model prediction errors showing sharp increase as the models tries to predict for subsequent stations past the immediate station. Embodiments disclosed herein provide a method and system for training of chained neural networks for delay prediction in transit networks. In this approach, a chained neural network model used by the system is trained such that data containing a mix of real data and predicted data is used for training each data model in a sequence of data models in the chained neural network model.

    Flexible API framework
    4.
    发明授权
    Flexible API framework 有权

    公开(公告)号：US12100060B2

    公开(公告)日：2024-09-24

    申请号：US17509481

    申请日：2021-10-25

    Applicant: Lyft, Inc.

    Inventor： Limin Shen ,  Michael Lodick ,  Wei You ,  Jeff Pinner

    IPC: G06Q50/30 ,  G06Q50/40 ,  H04W4/029 ,  H04W4/02

    CPC classification number: G06Q50/40 ,  H04W4/029 ,  G06Q2240/00

    Abstract: Embodiments provide approaches to selectively integrate with various providers based on reliability factors, user preferences, and/or other criteria. For example, a user in a location where an on-demand provider is available may attempt to utilize services provided by the on-demand provider in a different location where the on-demand provider has limited or no services available, but where one or more other on-demand providers may be available. The user may attempt to access services provided by the on-demand provider using an application provided by the on-demand provider. However, in the situation where the user is in the location where services provided by the on-demand provider are not available, the user would have to secure other means of accessing those services. In such a situation the user may be able to utilize the application to request services with at least one partner on-demand provider. This can include, for example, enabling the user to use the application to access such services, and thus maintain a familiar front-end user experience, while on the backend a flexible application program interface (API) framework is utilized to enable requests to partner on-demand providers who can satisfy requests on behalf of the on-demand provider.

    DEVICES AND METHODS OF DECENTRALIZED ON-DEMAND MULTIVEHICLE DELIVERY
    5.
    发明公开
    DEVICES AND METHODS OF DECENTRALIZED ON-DEMAND MULTIVEHICLE DELIVERY 审中-公开

    公开(公告)号：US20240271948A1

    公开(公告)日：2024-08-15

    申请号：US18166818

    申请日：2023-02-09

    Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.

    Inventor： Rohit Gupta ,  Nejib Ammar ,  Akila C. Ganlath

    IPC: G01C21/34 ,  G06N3/08 ,  G06Q10/02 ,  G06Q50/30

    CPC classification number: G01C21/3438 ,  G01C21/3492 ,  G06N3/08 ,  G06Q10/02 ,  G06Q50/40

    Abstract: A computing device and a method to generate a decentralized delivery scheme for multivehicle in an interested area may comprise the following steps. First, the computing device may receive map data, travel request data, and service vehicle data. Second, the computing device may determine one or more constraints based on the travel request data. Third, the computing device may abstract the travel request data, the service vehicle data, and the map data into a request-vehicle graph comprising nodes and edges. Fourth, the computing device may trim the request-vehicle graph into partial request-vehicle graphs for each service vehicle. Fifth, the computing device may encode the partial request-vehicle graphs through a graph neural network (GNN). Sixth, the computing device may train the GNN to predict actions for each service vehicle. Finally, the computing device may instruct the service vehicles to operate based on the actions.

    System and Method for Ride Hailing an Autonomous Vehicle by a Third Party
    6.
    发明公开
    System and Method for Ride Hailing an Autonomous Vehicle by a Third Party 审中-公开

    公开(公告)号：US20240256990A1

    公开(公告)日：2024-08-01

    申请号：US18102135

    申请日：2023-01-27

    Applicant: Argo AI, LLC

    Inventor： Danson Evan Lu Garcia

    IPC: G06Q10/02 ,  B60R25/24 ,  B60R25/25 ,  G06Q10/0631 ,  G06Q50/30

    CPC classification number: G06Q10/02 ,  G06Q50/40 ,  G06Q50/47

    Abstract: Disclosed herein are system, method, and computer program product embodiments for ride hailing an autonomous vehicle by a third party. For example, the method includes: receiving, from a user device associated with a user account of a user for an autonomous vehicle service, (i) a request to add a rider profile associated with a rider other than the user to the user account and (ii) rider information associated with the rider; generating, based on the rider information, the rider profile; receiving, from the user device, a pick-up request associated with (i) the user account and (ii) the rider profile; assigning, based on the pick-up request, an autonomous vehicle to pick-up the rider; and providing, to the autonomous vehicle assigned to pick-up the rider, based on the rider profile, an indication of a type of identification to use to identify the rider and/or unlock the autonomous vehicle when picking-up the rider.

    PROBABILITY BASED AUTOMATED TRANSPORTATION SERVICE REQUEST GENERATION
    7.
    发明公开
    PROBABILITY BASED AUTOMATED TRANSPORTATION SERVICE REQUEST GENERATION 审中-公开

    公开(公告)号：US20240249375A1

    公开(公告)日：2024-07-25

    申请号：US18100981

    申请日：2023-01-24

    Applicant: Hitachi, Ltd.

    Inventor： Malarvizhi SANKARANARAYANASAMY ,  Ravigopal VENNELAKANTI ,  Prasun Kumar SINGH ,  Ramyar SAEEDI ,  Rahul VISHWAKARMA ,  Shouchun PENG

    IPC: G06Q50/30 ,  G06Q10/0637

    CPC classification number: G06Q50/30 ,  G06Q10/0637 ,  G06Q10/0631

    Abstract: In example implementations described herein, there are systems and methods for providing service partner recommendations in a transportation network associated with a plurality of transit-oriented service providers. The systems and method may include receiving a request for a service related to at least one aspect of the transportation network; obtaining information regarding a current state of the transportation network, where the information regarding the current state of the transportation network includes a set of service-preference parameters for the plurality of transit-oriented service providers; generating, based on an analysis of the request for the service and the information regarding the current state of the transportation network, a set of recommended partners and a set of recommended agreement parameters; and outputting the set of recommended partners and the set of recommended agreement parameters to at least one service provider in the plurality of transit-oriented service providers for acceptance.

    METHOD AND INFORMATION PROCESSING APPARATUS
    8.
    发明公开
    METHOD AND INFORMATION PROCESSING APPARATUS 审中-公开

    公开(公告)号：US20240232788A9

    公开(公告)日：2024-07-11

    申请号：US18489199

    申请日：2023-10-18

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Hiroki TAKEISHI

    IPC: G06Q10/0833 ,  G06Q10/0631 ,  G06Q50/30

    CPC classification number: G06Q10/0833 ,  G06Q10/0631 ,  G06Q50/30

    Abstract: A method performed by an information processing apparatus configured to be used for providing a delivery service allowing a vehicle to be designated as a delivery destination for a package, the vehicle being used by a consignee, the method includes determining a delivery work plan for a delivery person based on vehicle information on the vehicle designated as the delivery destination for the package, making first location information viewable by the delivery person from a terminal apparatus, the first location information indicating an area in which the vehicle is located, and making second location information viewable by the delivery person from the terminal apparatus based on the delivery work plan and/or progress of delivery work by the delivery person, the second location information indicating a point at which the vehicle is located.

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