Design And Research Of Intelligent Parking System Based On Internet Of Things Technology

With the rapid development of China's economy and the continuous advancement of social science and technology,motor vehicles have become an indispensable means of transportation for residents in their daily lives,and their number has increased significantly.Although motor vehicles have changed the lifestyle of residents,they have also brought tremendous pressure on urban transportation.In particular,the parking infrastructure with its supporting facilities is difficult to meet the demand.The parking management is not intelligent enough,resulting in low parking efficiency and affecting the daily life of residents.The experience also affects the surrounding traffic.Parking is an important part of urban transportation,and its efficiency affects the entire city.In order to improve the efficiency of the parking lot,this paper uses the latest Internet of Things technology to research and design a smart parking system.The main research contents and results are as follows.Firstly,the internal environment of the parking lot is analyzed.From the economic point of view,it is decided to use ultrasonic sensors to monitor whether the parking space is idle.The information collected by the ultrasonic sensor is transmitted to the upper computer through the ZigBee wireless sensor network,and the upper computer determines whether there is a vehicle according to the collected information,and Displayed on the host computer.When the vehicle arrives at the entrance of the parking lot,the system incorporates an intelligent guidance system to select the optimal parking space for the driver and display it on the display to direct the vehicle to the designated parking space to stop.The traditional Dijkstra algorithm calculates the distance traveled from the entrance to the parking space and the walking distance from the parking space to the elevator.The sum is taken as the minimum optimal parking space.The algorithm does not fully consider the information around the parking space and the driving skills of the driver,and needs to search a large number of nodes.The amount of calculation of the system is large.The inductive system algorithm of this paper firstly improves the traditional Dijkstra algorithm.According to the distance from the parking space,the parking space information is stored in different databases.When calculating,the parking space information in the database closest to the elevator should be called preferentially,which reduces the calculation time.The number of nodes is then constructed based on the calculated walking distance,driving distance and parking space.The weight of each evaluation index is calculated by the analytic hierarchy process according to the driver's information,and the optimal correlation is determined by gray correlation and approximation ideal solution ranking.parking space.The model improves the efficiency of the parking lot and provides great convenience for the driver.