Design And Implementation Of Parking Guidance And Information System Base On Android

In recent years,with the rapid increase in car ownership,the problem of parking difficulties in many big cities in our country has become more and more serious,which has brought great burden to the city traffic.This thesis through to the development of intelligent parking guidance system at home and abroad present situation and deficiencies of the existing research,starting from the actual application requirements,and conform to the trend of the development of the current various mobile applications quickly,designed a set of intelligent parking guidance system based on Android platform.The system can make the user conveniently inquire the parking lot information on the mobile intelligent terminal,and the user can select the appropriate parking point based on the acquired parking lot information and find the optimal parking path through the parking path planning algorithm to avoid the congestion,reduce the burden of dynamic traffic.The intelligent parking system designed in this thesis is mainly composed of four modules: map display module,positioning module,real-time parking lot information acquisition module and path planning module.For the path planning module,this thesis has carried on the thorough research to the related algorithm.Firstly,I choose the stable and intelligent ant colony algorithm for path planning of the system,and design a multi-group ant colony optimization algorithm using two ant colonies group bidirectional search strategy.In order to avoid due to determine ants meet viable path loss problem,this thesis proposes a new path intersecting discriminant method.Secondly,in order to improve the convergence speed of the algorithm,the factors such as the length of the path are added in the initial pheromone setting,and the advantages of the optimal node composition path are reflected in time to speed up the algorithm to search for the initial feasible solution speed.Finally,the setting of the heuristic function is also improved,and the road congestion situation is taken into account as a factor influencing the path selection,which effectively avoid the congestion road and make the algorithm more suitable for the optimal parking path planning.In conclusion,through the study of Android development method,using Baidu map API,Juhe data SDK and improved path planning algorithm to complete the specific design and implementation methods of the various UI interfaces on the Android platform,the specific design and implementation methods,and ultimately established intelligent parking guidance system,and the ant colony optimization algorithm proposed in this thesis is validated and analyzed.The experimental results show the practical feasibility of the algorithm and applicability of the system.