Informatica

Most existing traffic trajectory recommendation methods don’t consider the driver-car-road preferences, resulting in the poor ability to meet the driver-car-road requirements. To address this issue, we propose a traffic Trajectory Recommendation scheme based on Edge-cloud computing Driver-car-road Preferences (named as TREDP). TREDP reduces the computational, storage, and energy burden on the edge through edge-cloud collaborative computing. TREDP enhances the recommended accuracy by considering driver-car-road requirements and the relationship among driver-car-road in different traffic trajectories. Meanwhile, TREDP increases the computational efficiency through edge-cloud computing. Thus, it improves the driver experience of intelligent traffic trajectory recommendation systems.