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公开(公告)号:US20220327652A1
公开(公告)日:2022-10-13
申请号:US17225795
申请日:2021-04-08
申请人: Hitachi, Ltd.
发明人: Malarvizhi SANKARANARAYANASAMY , Ramyar SAEEDI , Rahul VISHWAKARMA , Prasun SINGH , Ravigopal VENNELAKANTI
摘要: Systems and methods described herein can involve establishing a blockchain network between a plurality of organizations, each organization representing a different mode of transport and/or transit oriented service providers; deriving multi-modal features from first data sources of the plurality of organizations in the blockchain and second data sources off the blockchain; constructing a multi-modal network that integrates the different mode of transports from the plurality of organizations from the derived multi-modal features; executing smart contracts between the plurality of organizations across the blockchain in accordance with service level agreements generated from reinforcement learning through the multi-modal model derived from the multi-modal network; and providing, through a micro-application, access to multi-modal transportation services based on the executed smart contracts.
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公开(公告)号:US20240249375A1
公开(公告)日:2024-07-25
申请号:US18100981
申请日:2023-01-24
申请人: Hitachi, Ltd.
发明人: Malarvizhi SANKARANARAYANASAMY , Ravigopal VENNELAKANTI , Prasun Kumar SINGH , Ramyar SAEEDI , Rahul VISHWAKARMA , Shouchun PENG
IPC分类号: G06Q50/30 , G06Q10/0637
CPC分类号: G06Q50/30 , G06Q10/0637 , G06Q10/0631
摘要: 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.
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公开(公告)号:US20240355196A1
公开(公告)日:2024-10-24
申请号:US18137928
申请日:2023-04-21
申请人: HITACHI, Ltd.
发明人: Ramyar SAEEDI , Malarvizhi SANKARANARAYANASAMY , Rahul VISHWAKARMA , Prasun SINGH , Shouchun PENG , Ravigopal VENNELAKANTI
CPC分类号: G08G1/0125 , G01C21/32 , G01S19/42
摘要: A method for demand estimation. The method may include collecting people flow data from a network of a plurality of sensors within an area of interest, wherein each sensor of the plurality of sensors is associated with a user device; processing the people flow data to generate movement trajectories; mapping the movement trajectories to existing transportation network; aggregating the movement trajectories associated with the network of the plurality of sensors to estimate movement flow density; for the people flow data representing less than entire population of the area of interest, performing data simulation to rescale the movement flow density; classifying the people flow data into different transportation types; and generating flow-demand matching by matching current demand with transportation resource information.
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公开(公告)号:US20240296459A1
公开(公告)日:2024-09-05
申请号:US18117040
申请日:2023-03-03
申请人: Hitachi, Ltd.
IPC分类号: G06Q30/018
CPC分类号: G06Q30/018
摘要: In example implementations described herein, there are systems and methods for obtaining information relating to one or more of a GHG consumption or a GHG production associated with a plurality of entities associated with a GHG-offset marketplace; receiving a request regarding a desired transaction related to the GHG-offset marketplace; and recommending, based on the request and the information relating to the one or more of the GHG consumption or the GHG production, at least one optimized set of partner entities in the plurality of entities for fulfilling the request. The recommendation of the at least one optimized set of partner entities may be included as part of selecting and coordinating partnerships in a supply chain (e.g., for a supply chain management company) to reduce and/or optimize greenhouse gas emissions and to enable effective cooperation for various supply chain objectives.
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