H. Wang

Pages: 153-164

Abstract
In order to overcome many problems such as low parking efficiency existing in traditional intelligent parking guidance methods of urban integration, this paper proposes a new intelligent parking guidance method of urban integration based on Dijkstra algorithm. The parking spaces, positioning technology of vehicle routes for preliminary design of imports and exports, on the basis of the preliminary design result Dijkstra algorithm was introduced to stop the shortest path analysis, and build the optimal path selection objective function, the use of ant colony algorithm for solving the results of the objective function optimization, get the optimal path planning as a result, the optimal planning results as a foundation for city integrated intelligent parking guidance, to realize intelligent parking guidance. The simulation results show that the proposed method has better path planning effect and better algorithm convergence performance, which can effectively improve the efficiency of intelligent parking guidance.
Keywords: dijkstra algorithm; urban integration; intelligent parking; parking guidance; ant colony algorithm; optimal path