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: Methods and systems for allocating vehicles for rental rides to customers are provided. A booking request for a rental ride is received from a customer device of a customer. The booking request includes at least a ride distance and a ride duration specified by the customer. Based on the ride duration in the booking request, a predefined ride distance is determined for the rental ride. A ride fare for the rental ride is determined based on at least one of the ride duration, the ride distance specified by the customer, the predefined ride distance, a base fare, and a ride cost per unit distance. Upon confirmation of the ride fare by the customer, an available vehicle is allocated to the customer for rental ride.

Abstract: Vehicle allocation methods for rental rides are provided. An online booking request for a rental ride is initiated by a passenger. Further, an available driver is identified from a set of available drivers based on one or more factors, such as a logged-in time duration of each available driver, a ride-time duration associated with the rental ride, a probability of extending the rental ride by the passenger, a destination location of each available driver, a probability of cancelling the booking request by the passenger, a current location of each available driver, a pick-up location of the passenger, a traffic stopover duration of each available driver, a number of cancelled booking requests associated with each available driver, or a driver category associated with each available driver. Thereafter, a vehicle associated with the identified driver is allocated to the passenger for the rental ride.

Abstract: A data management system is provided. The data management system is communicatively coupled to a distributed ledger that stores electronic document information for users and smart contracts that control access to the document information. The data management system receives a user request, including a user identifier (ID), for an electronic document and identifies a domain associated with the user request. The data management system selects smart contract(s) for the domain from the stored smart contracts and extracts user-specific information for the electronic document from the distributed ledger based on the user ID and the selected smart contract(s). The data management system determines a content ID associated with template information for the electronic document and extracts the template information from the distributed ledger based on the determined content ID and the selected smart contract(s).

Abstract: A data management system is provided. The data management system is communicatively coupled to a distributed ledger that stores electronic document information for users and smart contracts that control access to the document information. The data management system receives a user request, including a user identifier (ID), for an electronic document and identifies a domain associated with the user request. The data management system selects smart contract(s) for the domain from the stored smart contracts and extracts user-specific information for the electronic document from the distributed ledger based on the user ID and the selected smart contract(s). The data management system determines a content ID associated with template information for the electronic document and extracts the template information from the distributed ledger based on the determined content ID and the selected smart contract(s).

Abstract: Methods and systems for allocating vehicles for rental rides to customers are provided. A booking request for a rental ride is received from a customer device of a customer. The booking request includes at least a ride distance and a ride duration specified by the customer. Based on the ride duration in the booking request, a predefined ride distance is determined for the rental ride. A ride fare for the rental ride is determined based on at least one of the ride duration, the ride distance specified by the customer, the predefined ride distance, a base fare, and a ride cost per unit distance. Upon confirmation of the ride fare by the customer, an available vehicle is allocated to the customer for rental ride.

Abstract: A personalized voice assistance system and method to provide a personalized emotion-based assistance to a first individual from a group of individuals are disclosed. The personalized voice assistance system detects an activity of the first individual in a first time period in a defined area. A requirement of an assistance for the first individual may be determined based on the detected activity in the defined area. The personalized voice assistance system may further compute, based on the detected activity, an emotional reaction of a second individual from the group of individuals. The emotional reaction of the second individual may be computed for the determined requirement of the assistance for the first individual. The personalized voice assistance system may further generate an output voice similar to the second individual based on at least the computed emotional reaction to assist the first individual.

Abstract: A personalized voice assistance system and method to provide a personalized emotion-based assistance to a first individual from a group of individuals are disclosed. The personalized voice assistance system detects an activity of the first individual in a first time period in a defined area. A requirement of an assistance for the first individual may be determined based on the detected activity in the defined area. The personalized voice assistance system may further compute, based on the detected activity, an emotional reaction of a second individual from the group of individuals. The emotional reaction of the second individual may be computed for the determined requirement of the assistance for the first individual. The personalized voice assistance system may further generate an output voice similar to the second individual based on at least the computed emotional reaction to assist the first individual.