Abstract: A system, including a plurality of node packages, an aggregator database node, and an archival database node, is provided. Each node package includes a subscriber node, an MP node, and a MaaS node. A first MaaS node selects a first set of transaction records from the first MaaS node based on a first data retention threshold and a first storage duration, and transmits the first set of transaction records to the aggregator database node for storage. The first MaaS node further controls a selection of a second set of transaction records from a third set of transaction records stored on the aggregator database node and controls a transmission of the second set of transaction records to the archival database node for storage. The selection of the second set of transaction records is based on a second data retention threshold and a second storage duration.

Abstract: A media rendering device controlled based on a trained neural network is provided. The media rendering device captures an image of a user, and determines a user-type of the user and user-profile information of the user or the user-type based on the captured image. The user-type corresponds to an age group, a gender, an emotional state, and/or a geo-location, associated with the user. The user-profile information corresponds to interests or preferences of the user or the determined user-type. The media rendering device further determines device-assistive information based on application of the trained neural network model on the determined user-type. The media rendering device is further controlled based on the determined device-assistive information, to change at least one configuration setting of the media rendering device or to output media content.

Abstract: A system and method for artificial intelligence (AI) based skill tracking and non-fungible token (NFT) based skill/behavior representation are provided. The system acquires information associated with a non-tangible asset of a user in an online environment, apply an artificial intelligence (AI) model on the acquired information, wherein the AI model is trained to evaluate the non-tangible asset and track a progress of acquisition of the non-tangible asset in the online environment. The system determines a proficiency level of a plurality of proficiency levels of the non-tangible asset of the user based on the application of the AI model on the acquired information. The system assigns, based on the determined proficiency level of the non-tangible asset of the user, a value to a digital token associated with the user. The digital token may include a non-transferable part unique to the user and a fungible part that may be exchangeable across platforms.

Abstract: A system including broker node device is provided. The broker node device collects operation information associated with first plurality of nodes of first MaaS network. The broker node device determines operational trouble associated with the first plurality of nodes, based on the operation information and receives, from first publisher node of the first plurality of nodes, first transaction message associated with first transaction of first transportation service of the first MaaS network. The first transaction message includes first correlation identifier generated by first publisher node. The broker node device receives, from second node of the first plurality of nodes, first notification associated with receipt of first transaction message at second node. The broker node device determines cause for failure of first transaction based on the first correlation identifier, the first notification, or the operational trouble, and further controls display device to display the cause for failure.

Abstract: A system and method for management of a distributed ledger technology (DLT) network are provided. The system receives a first request from an edge device to communicate with an operator entity in the DLT network. The system determines a plurality of parameters associated with the edge device, based on a type of the edge device. The system applies an artificial intelligence model on the plurality of parameters to generate a smart contract for communication between the edge device and the operator entity. The system controls execution of a code associated with the smart contract to create a transaction record on the DLT network, based on the communication between the edge device and the operator entity. The system temporarily suspends the code associated with the smart contract in the DLT network based on a second request from one of the edge device or the DLT network.

Abstract: A mobility player system including memory and a processor is provided. The memory stores a trained AI model. The processor receives on-board diagnostic (OBD) data associated with a first vehicle registered with a first mobility provider. The processor receives occupant data, different from the OBD data, from plurality of sensors associated with the first vehicle. The processor determines a plurality of parameters based on the received OBD data and the received occupant data. The processor applies the trained AI model on the plurality of parameters. The processor determines one or more events related to the first vehicle, or related to an occupant of the first vehicle, based on the application of the trained AI model on the plurality of parameters. The processor transmits information about the determined one or more events to one or more nodes of a distributed ledger associated with a Mobility-as-a-Service (MaaS) network.

Abstract: A system and method for management of a distributed ledger technology (DLT) network are provided. The system receives a first request from an edge device to communicate with an operator entity in the DLT network. The system determines a plurality of parameters associated with the edge device, based on a type of the edge device. The system applies an artificial intelligence model on the plurality of parameters to generate a smart contract for communication between the edge device and the operator entity. The system controls execution of a code associated with the smart contract to create a transaction record on the DLT network, based on the communication between the edge device and the operator entity. The system temporarily suspends the code associated with the smart contract in the DLT network based on a second request from one of the edge device or the DLT network.

Abstract: A system and method to provide a conversational user experience for a multimodal travel system is provided. The system controls an electronic device associated with a user to render a User Interface (UI). Through the UI, one or more messages that includes a natural language input from the user are acquired. The system also acquires user data. The acquired one or more messages are processed using one or more natural language processing (NLP) models to determine contextual information which indicates an intent of the user to travel to a location and a schedule associated with the travel. Based on the contextual information and the user data, the system generates a travel plan. The system triggers a mobility-as-a-service (MaaS) network to generate booking details for a trip specified in the travel plan and controls the electronic device to display the generated booking details onto the UI.

Abstract: A control system and a method for vehicle control in geographical control zones is provided. The control system receives traffic information, including a plurality of image frames of a group of moving objects in a geographical control zone and generates a set of images frames of a first moving object of the group of moving objects based on application of a trained Neural Network (NN) model on the received traffic information. The generated set of image frames corresponds to a set of likely positions of the first moving object at a future time instant. The control system predicts the unsafe behavior of the first moving object based on the generated set of image frames and generates first control information, including an alternate route for a first vehicle in the geographical control zone based on the predicted unsafe behavior. The first vehicle is controlled based on the generated first control information.

Abstract: A control apparatus and method for noise cancellation in a physical area. The control apparatus receives a trigger input which includes information about a first physical area and further controls an image capturing device to capture at least one first image of the first physical area based on the received trigger input. The control apparatus further determines a number of occupants of a first set of occupants present in the first physical area and scene information corresponding to the first physical area based on the captured at least one first image. The control apparatus further controls a movement of a first plurality of unmanned aerial vehicles (UAVs) in a physical three-dimensional (3D) space to create a virtual noise cancellation boundary around the first physical area based on the determined number of occupants of the first set of occupants and the scene information.

Abstract: A mobility player system including memory and a processor is provided. The memory stores a trained AI model. The processor receives on-board diagnostic (OBD) data associated with a first vehicle registered with a first mobility provider. The processor receives occupant data, different from the OBD data, from plurality of sensors associated with the first vehicle. The processor determines a plurality of parameters based on the received OBD data and the received occupant data. The processor applies the trained AI model on the plurality of parameters. The processor determines one or more events related to the first vehicle, or related to an occupant of the first vehicle, based on the application of the trained AI model on the plurality of parameters. The processor transmits information about the determined one or more events to one or more nodes of a distributed ledger associated with a Mobility-as-a-Service (MaaS) network.

Abstract: A system and method for transaction flow management is provided. The system comprises a broker node device which collects operation information associated with a plurality of nodes of a MaaS network and determines an operational trouble associated one or more nodes of the plurality of nodes based on the collected operation information. The one or more nodes handle ticket transactions associated with a first trip plan of a sequence of trip plans included in a MaaS mobility service. The broker node device selects a first message routing policy based on the determined operational trouble and receives, based on the first message routing policy, a transaction message associated with the first trip plan from a first node of the first plurality of nodes. The broker node device routes the received transaction message to a second node of a same or different MaaS network based on the first message routing policy.

Abstract: A system including a server and a first publisher node device is provided. The first publisher node device transmits a request including an authentication credential associated with the first publisher node device to the server and receives a response including authentication of the first publisher node device as a ticket processing client for a first transportation service. The first publisher node device captures, as the ticket processing client, an event associated with the first transportation service based on the received response and transmits, based on the captured event, a transaction request to a broker node device. The transaction request includes a transaction message and an authorization request to route the transaction message to a first subscriber node device of the MaaS network. The server receives the authorization request from the broker node device and authorizes the broker node device to route the transaction message based on the received authorization request.

Abstract: A system including broker node device is provided. The broker node device collects operation information associated with first plurality of nodes of first MaaS network. The broker node device determines operational trouble associated with the first plurality of nodes, based on the operation information and receives, from first publisher node of the first plurality of nodes, first transaction message associated with first transaction of first transportation service of the first MaaS network. The first transaction message includes first correlation identifier generated by first publisher node. The broker node device receives, from second node of the first plurality of nodes, first notification associated with receipt of first transaction message at second node. The broker node device determines cause for failure of first transaction based on the first correlation identifier, the first notification, or the operational trouble, and further controls display device to display the cause for failure.

Abstract: A system and method for playback control of media content across devices in a MaaS transportation network is provided. The system receives, from a MaaS network, trip details of an ongoing trip and determines a first vehicle by which a user is set to complete an active first leg of the ongoing trip. The system generates media content recommendations based on the trip details and controls a first display device in use inside the first vehicle, to display such recommendations. The system receives a selection of a first content recommendation and controls a playback of first media content associated with the selection on the first display device. The system detects an event which requires the playback to pause and controls the playback to resume on a second display device in use inside a second vehicle, within duration of a second leg of the ongoing trip or a different trip.

Abstract: A media display system for a vehicle that includes a first image sensor, a second image sensor, and an electronic device. The first image sensor is inside the vehicle and the second image sensor is outside the vehicle. The electronic apparatus determines a direction-of-view of an occupant of the vehicle based on user information of the occupant. The electronic apparatus further controls the second image sensor to capture a portion of view surrounding the vehicle in the determined direction-of-view of the occupant. The portion of view comprises an object-of-interest of the occupant. The electronic apparatus further control display of an interactive content on a display medium based on a user input on the object-of-interest, wherein the interactive content comprises items related to the object-of-interest. The electronic apparatus further controls navigation through the object-of-interest and remote selection of the items in the interactive content.

Abstract: A system including a server and a first publisher node device is provided. The first publisher node device transmits a request including an authentication credential associated with the first publisher node device to the server and receives a response including authentication of the first publisher node device as a ticket processing client for a first transportation service. The first publisher node device captures, as the ticket processing client, an event associated with the first transportation service based on the received response and transmits, based on the captured event, a transaction request to a broker node device. The transaction request includes a transaction message and an authorization request to route the transaction message to a first subscriber node device of the MaaS network. The server receives the authorization request from the broker node device and authorizes the broker node device to route the transaction message based on the received authorization request.

Abstract: A system and method for transaction flow management is provided. The system comprises a broker node device which collects operation information associated with a plurality of nodes of a MaaS network and determines an operational trouble associated one or more nodes of the plurality of nodes based on the collected operation information. The one or more nodes handle ticket transactions associated with a first trip plan of a sequence of trip plans included in a MaaS mobility service. The broker node device selects a first message routing policy based on the determined operational trouble and receives, based on the first message routing policy, a transaction message associated with the first trip plan from a first node of the first plurality of nodes. The broker node device routes the received transaction message to a second node of a same or different MaaS network based on the first message routing policy.

Abstract: A system, including a plurality of node packages, an aggregator database node, and an archival database node, is provided. Each node package includes a subscriber node, an MP node, and a MaaS node. A first MaaS node selects a first set of transaction records from the first MaaS node based on a first data retention threshold and a first storage duration, and transmits the first set of transaction records to the aggregator database node for storage. The first MaaS node further controls a selection of a second set of transaction records from a third set of transaction records stored on the aggregator database node and controls a transmission of the second set of transaction records to the archival database node for storage. The selection of the second set of transaction records is based on a second data retention threshold and a second storage duration.

Abstract: Various aspects of a system and a method to provide recommendation on an electronic device based on emotional state detection of a user, are disclosed herein. In accordance with an embodiment, the system includes the electronic device, which is configured to detect a transition in an emotional state of a user associated with the electronic device from a first emotional state to a second emotional state. A tagged content item associated with the second emotional state of the user is retrieved from a network device based on identity information of the user and the detected transition. An application is launched on the electronic device to recommend a product or a service related to the retrieved tagged content item. The application is launched in response to the detected transition in the emotional state of the user and a current location of the electronic device.