城市智能停车场路径规划系统的研究与设计

Research and Design of Path Planning System for Urban Intelligent Parking Lot

摘要: 本文主要研究路径规划算法在城市智能停车场中的应用，在城市路径规划、停车场路径规划以及反向寻车中提出A^*算法来计算最短路径。采用python语言编写路径规划代码，通过Pycharm仿真实验验证了算法的合理性和有效性。本文研究结果极大地提高了用户停取车效率以及停车资源的利用程度，这为城市智能停车场的建设与发展做出了重要贡献。

Abstract: This article mainly studies the application of path planning algorithms in urban intelligent parking lots, and proposes the A^* algorithm to calculate the shortest path in urban path planning, parking lot path planning, and reverse vehicle search. The path planning code was written in Python language, and the algorithm’s rationality and effectiveness were verified through Pycharm simulation experiments. The research results of this article greatly improve the efficiency of users’ parking and pick-up, as well as the utilization of parking resources, which has made significant contributions to the construction and development of urbans intelligent parking lots.