Intel has been granted a patent for a system that enhances Mobility as a Service (MaaS) by utilizing multi-access edge computing (MEC) to predict and share quality of service (QoS) information during user-requested vehicle journeys, improving the delivery of transportation services. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Intel, Device power optimization was a key innovation area identified from patents. Intel's grant share as of June 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.
Sharing qos information for transportation services in maas systems
The patent US12045738B2 outlines a system designed to enhance the quality of service (QoS) in transportation services through a multi-access edge computing (MEC) application. The system includes mechanisms for receiving parameters from a global QoS prediction model and updating a local QoS prediction model accordingly. It detects a user's requested vehicle journey and calculates the predicted QoS value along that journey, which serves as a measure of the transportation service's quality. The predicted QoS value is then communicated back to the vehicle, ensuring that users receive real-time insights into the quality of their transportation experience.
Additionally, the patent describes the use of federated learning to generate the global QoS prediction model, utilizing data from multiple vehicles, including sensor data, trip histories, user profiles, and communication data. The system is equipped to collect sensor data from the vehicle and can request updated parameters for the global model if the local model's accuracy falls below a certain threshold. Furthermore, it allows for the integration of journey information from a user's mobile device to refine QoS predictions. Overall, the system aims to leverage advanced machine learning techniques to provide a more responsive and accurate assessment of transportation service quality.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
