-
公开(公告)号:US20240185147A1
公开(公告)日:2024-06-06
申请号:US18396155
申请日:2023-12-26
申请人: Lyft, Inc.
发明人: Janette Yuen-Sum Fong , Joanna Mun Yee Chan , Bao Kham Chau , Dennis Li , Alex Collier Mazure , Jonathan Patrick O'Keefe , Ko-Ay Timmy Siauw , Anthony Michael Padin , Harel Sheniak , Samuel Soffes
IPC分类号: G06Q10/0631 , G06Q50/40
CPC分类号: G06Q10/063112 , G06Q50/40
摘要: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.
-
公开(公告)号:US20240183673A1
公开(公告)日:2024-06-06
申请号:US18417786
申请日:2024-01-19
IPC分类号: G01C21/34 , B60L53/36 , B60L58/12 , B60P3/12 , B60R16/023 , B60R21/00 , B60R21/01 , B60R21/0136 , B60R21/34 , B60R25/04 , B60R25/10 , B60R25/102 , B60R25/104 , B60R25/25 , B60R25/30 , B60R25/31 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/095 , B60W30/12 , B60W30/16 , B60W30/18 , B60W40/04 , B60W60/00 , G01B21/00 , G01C21/36 , G01S19/13 , G01S19/42 , G05B15/02 , G05B23/02 , G05D1/223 , G05D1/227 , G05D1/228 , G05D1/247 , G05D1/249 , G05D1/617 , G05D1/646 , G05D1/69 , G05D1/692 , G05D1/693 , G05D1/695 , G05D1/697 , G06F11/36 , G06F16/2455 , G06F16/903 , G06F17/00 , G06F21/32 , G06F21/55 , G06F30/15 , G06F30/20 , G06N20/00 , G06Q10/1093 , G06Q10/20 , G06Q30/0283 , G06Q30/0645 , G06Q40/08 , G06Q50/163 , G06Q50/26 , G06Q50/40 , G07C5/00 , G07C5/08 , G07C9/00 , G08B21/00 , G08B21/02 , G08B21/18 , G08B25/00 , G08B25/01 , G08G1/00 , G08G1/017 , G08G1/0965 , G08G1/0967 , G08G1/14 , G08G1/16 , G16Y10/80 , G16Y30/00 , H04L12/28 , H04L67/12 , H04L67/306 , H04N7/18
CPC分类号: G01C21/3461 , B60L53/36 , B60L58/12 , B60P3/12 , B60R16/0234 , B60R21/0136 , B60R21/34 , B60R25/04 , B60R25/10 , B60R25/1001 , B60R25/102 , B60R25/104 , B60R25/252 , B60R25/255 , B60R25/305 , B60R25/31 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/0956 , B60W30/12 , B60W30/16 , B60W30/18163 , B60W40/04 , B60W60/0023 , B60W60/0053 , B60W60/0059 , G01B21/00 , G01C21/34 , G01C21/3415 , G01C21/343 , G01C21/3438 , G01C21/3453 , G01C21/3469 , G01C21/3617 , G01C21/362 , G01C21/3697 , G01S19/13 , G05B15/02 , G05B23/0245 , G05D1/223 , G05D1/227 , G05D1/228 , G05D1/247 , G05D1/249 , G05D1/617 , G05D1/646 , G05D1/69 , G05D1/692 , G05D1/693 , G05D1/695 , G05D1/697 , G06F11/3688 , G06F11/3692 , G06F16/2455 , G06F16/90335 , G06F17/00 , G06F21/32 , G06F21/55 , G06F30/15 , G06F30/20 , G06Q10/1095 , G06Q10/20 , G06Q30/0284 , G06Q30/0645 , G06Q40/08 , G06Q50/163 , G06Q50/265 , G06Q50/40 , G07C5/006 , G07C5/008 , G07C5/0808 , G07C5/0816 , G07C5/0841 , G07C9/00563 , G08B21/00 , G08B21/02 , G08B21/18 , G08B25/00 , G08B25/014 , G08G1/017 , G08G1/0965 , G08G1/096725 , G08G1/146 , G08G1/148 , G08G1/161 , G08G1/165 , G08G1/166 , G08G1/167 , G08G1/20 , G16Y10/80 , G16Y30/00 , H04L12/2803 , H04L12/2816 , H04L12/2825 , H04L67/306 , H04N7/183 , B60R2021/0027 , B60R2021/01013 , B60R2025/1013 , B60W2420/403 , B60W2420/408 , B60W2530/209 , B60W2540/229 , B60W2552/05 , B60W2552/35 , B60W2554/4026 , B60W2554/4029 , B60W2554/4041 , B60W2554/406 , B60W2556/10 , G01S19/42 , G06F2221/034 , G06N20/00 , H04L67/12
摘要: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.
-
公开(公告)号:US11994396B2
公开(公告)日:2024-05-28
申请号:US16425599
申请日:2019-05-29
申请人: HERE GLOBAL B.V.
发明人: Jerome Beaurepaire
IPC分类号: G01C21/34 , G01C21/20 , G01C21/36 , G06Q30/0283 , G06Q50/40
CPC分类号: G01C21/3423 , G01C21/20 , G01C21/3415 , G01C21/3461 , G01C21/3691 , G06Q30/0284 , G06Q50/40
摘要: An approach is provided for providing drop-off locations for passengers of a vehicle to reach different destinations via a multimodal route. A routing platform receives a request to generate a navigation route, i.e., a multi-point intermodal route that directs the passengers to reach the destinations using the vehicle in combination with the other mode of transport. The routing platform further computes the navigation route based on an optimization parameter to include a route taken by the vehicle and at least one intermodal route leg. The navigation route includes drop-off locations where subsets of the passengers access the other mode of transport to complete the at least one intermodal route leg to at least one of the destinations. The optimization parameter is minimized with respect to the route taken by the vehicle and/or the at least one intermodal route leg.
-
公开(公告)号:US11989654B2
公开(公告)日:2024-05-21
申请号:US16967063
申请日:2019-01-16
申请人: NTT DOCOMO, INC.
摘要: A learning system includes a learning data acquisition unit that generates a neural network included in a single forecast model for performing a forecast of demand for a service through machine learning and acquires, as learning data, an actual demand value of the service and a feature amount for learning for each mesh associated with a past period, the feature amount for learning including the number of demands for the service in each mesh in each period as a feature amount, a learning data normalization unit that normalizes at least the number of demands in the feature amount for learning for each mesh, and a generation unit that performs machine learning on the basis of an actual demand value and a demand forecast value obtained by inputting the feature amount for learning including the normalized number of demands to the neural network, and generates the neural network.
-
45.
公开(公告)号:US20240152995A1
公开(公告)日:2024-05-09
申请号:US18400563
申请日:2023-12-29
申请人: Circlesx LLC
发明人: Erik M. SIMPSON
IPC分类号: G06Q30/08 , G06Q30/0601 , G06Q50/26 , G06Q50/40
CPC分类号: G06Q30/08 , G06Q30/0641 , G06Q50/265 , G06Q50/40
摘要: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, forward commodity market servers, grouping software for hubs, transparent open access pricing systems, blockchain audit and safety methods and systems, virtual hub systems, algorithm methods for no arbitrage conditions in a simple easy to use graphical user interface format for mobile or virtual computing over various mediums which are connected via a network to transact and trade transportation seats or capacity units and resulting financial swap payment structures in airline transport, subway transport, train transport, automobile transport, autonomous vehicle transport, taxi transport, space transport, package freight transport, tractor trailer freight transport, cargo freight transport, container freight transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, audio computer device, virtual reality computer device or mixed reality computing device.
-
公开(公告)号:US20240144413A1
公开(公告)日:2024-05-02
申请号:US18541657
申请日:2023-12-15
申请人: Itaru ISHII
发明人: Itaru ISHII
IPC分类号: G06Q50/40 , G06Q20/12 , G06Q30/0226 , G06Q30/0601
CPC分类号: G06Q50/40 , G06Q20/12 , G06Q30/0643 , G06Q30/0226
摘要: A virtual travel service system accepts a boarding request for a virtual passenger airplane, which is an example of a virtual vehicle, from a user's communication terminal before the departure time of the virtual passenger airplane and registers the user as a passenger of the virtual passenger airplane. A common boarding experience is provided to a plurality of passengers on the virtual passenger airplane.
-
47.
公开(公告)号:US20240142974A1
公开(公告)日:2024-05-02
申请号:US18396135
申请日:2023-12-26
发明人: Charles Howard Cella
IPC分类号: G05D1/00 , B60W40/08 , G01C21/34 , G01C21/36 , G05B13/02 , G05D1/224 , G05D1/225 , G05D1/226 , G05D1/227 , G05D1/228 , G05D1/229 , G05D1/24 , G06F40/40 , G06N3/04 , G06N3/045 , G06N3/08 , G06N3/086 , G06N20/00 , G06Q30/0208 , G06Q50/18 , G06Q50/40 , G06V20/59 , G06V20/64 , G07C5/00 , G07C5/02 , G07C5/08 , G10L15/16 , G10L25/63 , G06N3/02 , G06Q30/02 , G06Q50/00
CPC分类号: G05D1/0022 , B60W40/08 , G01C21/3438 , G01C21/3461 , G01C21/3469 , G01C21/3617 , G05B13/027 , G05D1/224 , G05D1/225 , G05D1/226 , G05D1/227 , G05D1/228 , G05D1/229 , G05D1/24 , G06F40/40 , G06N3/0418 , G06N3/045 , G06N3/08 , G06N3/086 , G06N20/00 , G06Q30/0208 , G06Q50/188 , G06Q50/40 , G06V20/59 , G06V20/64 , G07C5/006 , G07C5/008 , G07C5/02 , G07C5/08 , G07C5/0808 , G07C5/0816 , G10L15/16 , G10L25/63 , B60W2040/0881 , G06N3/02 , G06Q30/0281 , G06Q50/01
摘要: A system may include an operator data collection module to capture human operator interactions with a vehicle control system interface and may include a vehicle data collection module to capture vehicle response and operating conditions associated at least contemporaneously with the human operator interaction. An artificial intelligence system learns to control the vehicle with an optimized margin of safety while mimicking the human operator, where the artificial intelligence system is responsive to the robotic process automation system and the artificial intelligence system is to detect data indicative of at least one of a plurality of the instances of environmental information associated with the contemporaneously captured vehicle response and operating conditions. The optimized margin of safety is to be achieved by training the artificial intelligence system to control the vehicle based on the set of human operator interaction data collected at the robotic process automation system.
-
48.
公开(公告)号:US20240142972A1
公开(公告)日:2024-05-02
申请号:US18395398
申请日:2023-12-22
发明人: Charles Howard Cella
IPC分类号: G05D1/00 , B60W40/08 , G01C21/34 , G01C21/36 , G05B13/02 , G05D1/224 , G05D1/225 , G05D1/226 , G05D1/227 , G05D1/228 , G05D1/229 , G05D1/24 , G06F40/40 , G06N3/04 , G06N3/045 , G06N3/08 , G06N3/086 , G06N20/00 , G06Q30/0208 , G06Q50/18 , G06Q50/40 , G06V20/59 , G06V20/64 , G07C5/00 , G07C5/02 , G07C5/08 , G10L15/16 , G10L25/63 , G06N3/02 , G06Q30/02 , G06Q50/00
CPC分类号: G05D1/0022 , B60W40/08 , G01C21/3438 , G01C21/3461 , G01C21/3469 , G01C21/3617 , G05B13/027 , G05D1/224 , G05D1/225 , G05D1/226 , G05D1/227 , G05D1/228 , G05D1/229 , G05D1/24 , G06F40/40 , G06N3/0418 , G06N3/045 , G06N3/08 , G06N3/086 , G06N20/00 , G06Q30/0208 , G06Q50/188 , G06Q50/40 , G06V20/59 , G06V20/64 , G07C5/006 , G07C5/008 , G07C5/02 , G07C5/08 , G07C5/0808 , G07C5/0816 , G10L15/16 , G10L25/63 , B60W2040/0881 , G06N3/02 , G06Q30/0281 , G06Q50/01
摘要: A system may include a first neural network to detect the state of the rider through expert system-based processing of rider state indicative wearable sensor data of a plurality of wearable physiological condition sensors worn by the rider in the vehicle, the state indicative wearable sensor data indicative of at least one of a first state of the rider and a second state of the rider. A system may include a second neural network to optimize, for at least one of achieving and maintaining a first state of the rider, the operating parameter of the vehicle in response to the detected state of the rider, wherein the second neural network optimizes the operational parameter based on a correlation between a vehicle operating state and a rider state, wherein the optimized operational parameter of the vehicle is determined and adjusted to induce the first state in the rider.
-
49.
公开(公告)号:US20240142968A1
公开(公告)日:2024-05-02
申请号:US18394470
申请日:2023-12-22
发明人: Charles Howard Cella
IPC分类号: G05D1/00 , B60W40/08 , G01C21/34 , G01C21/36 , G05B13/02 , G05D1/224 , G05D1/225 , G05D1/226 , G05D1/227 , G05D1/228 , G05D1/229 , G05D1/24 , G06F40/40 , G06N3/04 , G06N3/045 , G06N3/08 , G06N3/086 , G06N20/00 , G06Q30/0208 , G06Q50/18 , G06Q50/40 , G06V20/59 , G06V20/64 , G07C5/00 , G07C5/02 , G07C5/08 , G10L15/16 , G10L25/63 , G06N3/02 , G06Q30/02 , G06Q50/00
CPC分类号: G05D1/0022 , B60W40/08 , G01C21/3438 , G01C21/3461 , G01C21/3469 , G01C21/3617 , G05B13/027 , G05D1/224 , G05D1/225 , G05D1/226 , G05D1/227 , G05D1/228 , G05D1/229 , G05D1/24 , G06F40/40 , G06N3/0418 , G06N3/045 , G06N3/08 , G06N3/086 , G06N20/00 , G06Q30/0208 , G06Q50/188 , G06Q50/40 , G06V20/59 , G06V20/64 , G07C5/006 , G07C5/008 , G07C5/02 , G07C5/08 , G07C5/0808 , G07C5/0816 , G10L15/16 , G10L25/63 , B60W2040/0881 , G06N3/02 , G06Q30/0281 , G06Q50/01
摘要: A vehicle to operate with a rider according to an operating parameter. The vehicle includes a set of physiological monitoring sensors configured to measure a physiological parameter of a rider within the vehicle. The vehicle further includes a neural network trained on data related to a set of rider in-vehicle experiences to determine a state of the rider by processing outputs of the set of physiological monitoring sensors. The vehicle further includes an augmented or virtual reality system configured to present augmented reality content to the rider within the vehicle based, at least in part, on the physiological parameter. The vehicle further includes an optimization system to automatically identify a variation in the operating parameter to improve a measure of the state of the rider and generate a command to vary the operating parameter and the augmented reality content according to the variation.
-
公开(公告)号:US20240135271A1
公开(公告)日:2024-04-25
申请号:US18535828
申请日:2023-12-11
发明人: James Fox , Randeep Ramamurthy , Julianne Anderson , Arthur Busse , Marcial Lapp , Daniel Muzich , Thomas Trenga
IPC分类号: G06Q10/02 , G06Q10/0637 , G06Q10/087 , G06Q30/0202 , G06Q50/40
CPC分类号: G06Q10/02 , G06Q10/0637 , G06Q10/087 , G06Q30/0202 , G06Q50/40
摘要: Systems and methods to generate predicted variances of an operation based on data from one or more connected databases.
-
-
-
-
-
-
-
-
-