Design And Implementation Of Intelligent Parking Guidance System

With the increase in the number of private cars,people often encounter problems such as “difficult parking” and “indiscriminate parking” during daily trips.The main cause of these problems is the current shortage of urban parking spaces,and on the other hand,In the process of searching for parking spaces,people have less valuable parking space information available,and lack a parking space information management platform to provide drivers with reasonable parking guidance.For the second reason,there are already a number of scientific research institutions and technology companies that are based on key technologies such as mobile applications,mobile self-organizing networks,and big data prediction to realize intelligent induction and parking of off-site or on-site parking of drivers.Field information query,to solve the parking process,"difficult parking" and other issues.However,the actual application in the field is still relatively small,or the function is single,and it can not fully meet the user’s parking needs.Therefore,how to establish a parking guidance system platform and use key technologies such as mobile applications,mobile self-organizing networks,big data prediction and other computer and internet technologies to effectively integrate information on parking spaces in cities and provide valuable information for parking users.Parking spaces to induce information to solve the "difficulty of parking" problem has become a hot spot for the current parking system construction research.This paper designs an intelligent parking guidance system by using mobile applications,mobile self-organizing networks and other technologies,and analyzing the needs of users for parking.In order to realize the main functions of the system,the following work was mainly done: First,the overall architecture of the system was designed and constructed,including the design of the front-end client and the design of the back-end server,and the design of the functions that the system expects to achieve;The characteristics of distributed communication in mobile self-organizing networks include the addition of self-organizing network modules to the network structure of Android-based induction systems to achieve end-to-end parking data sharing among clients,providing a dynamic parking space acquisition information.The new method relieves the service load of the traditional parking system.Secondly,the important functions of the system are designed in detail and its important functions are programmed.Based on other parking space discovery,optimal parking space recommendation and other algorithms,this paper combines the needs of the system,redesigns the parking location recommendation algorithm,and realizes the field induction of parking spaces.The main tasks are as follows: Firstly,the parking guidance system is used to collect information on parking spaces in real time,and a method for generating physical maps in the parking lot based on GPS is proposed for use by the user when searching for parking spaces in the parking lot;The information is processed and analyzed to obtain the main considerations for the user’s choice of parking space,and the selection factors are quantified and expressed;finally,a parking space recommendation selection model is established and a parking space recommendation algorithm is designed.The user uses the system to generate an on-site electronic map and recommended parking space information and drive to a parking space.At the end of this paper,functional tests are performed on the important functions of the system to verify the functional requirements of the system.The simulation algorithm of the designed parking space recommendation algorithm is carried out to prove the practicability and effectiveness of the design algorithm.