Creating a ubiquitous learning environment using IoT in transportation

The idea of Ubiquitous education is not fresh and omnipresent apps that have spread from the Internet into smartphone applications over the decades, with the increasing deployment of sensor devices. The current increase of the Internet of Things (IoT) could allow a new form of ubiquitous learning mechanism to be moved by using affordable sensors, border control devices, and IoT middleware and parameters to create creative and creative ubiquitous learning designs. This development contributes to the innovative use of intelligent environments. The standard of living of people in smart environments is essential to smart transportation. Intelligent transportation includes motor configuration use of computers and sensors. Therefore, in this paper, the ubiquitous learning environment-assisted IoT (ULE-IoT) model in the vehicle has been proposed for an effective learning environment. ULE-IoT implements time computation and promotes close collaboration in the IoT-based intelligent transportation community. The proposed model can aid in automating railroads, highways, airways, and maritime transportation, improving consumer satisfaction with how items are moved, tracked, and delivered. The ULE-IoT is a generic approach for intelligent transportation systems using Advanced Analytics in virtual environments. The experimental findings indicate that ULE-IoT highest efficiency ratio of 98.76% in the learning environment.