Deep learning over IoT big data-based ubiquitous parking guidance robot for parking near destination especially hospital

摘要

This paper offered a ubiquitous parking guidance robot system used for assisting drivers in selection of parking lots near their destination locations and recommending the parking lot with optimum conditions based on the forecast results by deep learning the big data of parking lots obtained through Internet of Things, which not only decreased the cost and the required time of parking, but also reduced the parking failure by a relatively accurate guidance way, and is important for drivers to save time on parking when drivers hurry to their destination locations such as hospital. The ubiquitous parking guidance robot system can be implemented as parking guidance apps or parking guidance plugins of navigation apps installed in drivers’ mobile phones. Drivers can independently set their filtering criteria of guidance, and then the parking lot with the optimum conditions such as shortest distance, largest number of parking spaces and best environment will be recommended.