Abstract: To visualize planned behavior of an autonomous vehicle (AV) traveling along a roadway, a user interface engine receives data describing a planned pathway of the AV along the roadway and object data describing an object having a predicted pathway crossing the planned pathway of the AV at a cross point. The user interface engine classifies the object either an asserting object or a yielding object based on a prediction of whether the object reaches the cross point before the AV or after the AV. The user interface engine generates an image that includes the planned pathway of the AV and the object in the environment of the AV. The image of the object indicates whether the object is classified as an asserting object or a yielding object.

Abstract: To visualize planned behavior of an autonomous vehicle (AV) traveling along a roadway, a user interface engine receives data describing a planned pathway of the AV along the roadway and object data describing an object having a predicted pathway crossing the planned pathway of the AV at a cross point. The user interface engine classifies the object either an asserting object or a yielding object based on a prediction of whether the object reaches the cross point before the AV or after the AV. The user interface engine generates an image that includes the planned pathway of the AV and the object in the environment of the AV. The image of the object indicates whether the object is classified as an asserting object or a yielding object.

Abstract: There is provided an adaptive incentivise education platform that provides educational content to a user via their mobile device. Usage information relating to how, when and what the user users is collected and analysed by machine learning to establish user preference patterns, which are used to update the user profile, and to predict what content would be most likely to be engaged by the user to achieve predetermined outcomes. The content is then selected and sent to the user.

Abstract: A method and apparatus of displaying traffic information of an inverse multiplexed asynchronous transfer mode network. The traffic information of an inverse multiplexed asynchronous transfer mode network is autodetected and summarized in real time, and the summarized traffic information is displayed in a tabular form. The traffic information includes corresponding inverse multiplexed link status information, corresponding inverse multiplexed group information of the inverse multiplexed links, link information of each of the inverse multiplexed links, and group delay information of the inverse multiplexed links. Further, the traffic information indicates correctness of connection configuration using a graphical user interface. Accordingly, a selectable graphical user interface is provided for presenting users with traffic information of an inverse multiplexed asynchronous transfer mode network in a user-friendly manner.