Study On Intelligent Parking Guidance System Based On Internet Of Things

With the accelerated process of urbanization in China, the increasing living standards of urban residents, the car in our country has begun to popularize the ordinary family, so the problem of parking is becoming more and more serious. Most of the parking are low efficiency and single display function. In the process of parking in the complex process, it not only caused damage to the urban environment, but also to the people brought about by the irritable mood and affect the quality of life. Therefore, it is one of the effective ways to improve the parking problems by building up a sound intelligent parking system.In this paper, the intelligent parking system based on Internet of things is introduced and analyzed in detail, and the method of parking guidance is studied in detail. Starting from the parking demand, this article first analyzes the intelligent parking induction system components, and then are introduced in detail, including the data transmission stop bits of information acquisition system, vehicle information acquisition system, traffic information acquisition system, user end system, the system framework and the various subsystems and between the subsystems. This paper puts forward the optimization problem of parking guidance line based on parking location selection. In the optimization process, first of all from the parking position including walking distance, driving distance, seven influencing factors of established multiple attribute decision model based on grey association method to understand and to decision attribute matrix is established according to the needs and preferences of the parking. Finally, the grey entropy relation degree multiple attribute decision-making way for parking parking position to be sorted according to the needs of users. The final system obtains the corresponding optimal path and the optimal stopping route.