【摘要】 针对石家庄市商业区停车压力和停车管理系统现状,基于运动车辆的当前位置、车库中的车位数量、道路状况、路口限制等动态约束因子,进行了智能泊车系统的技术设计与软件开发。通过建立复杂约束条件下的模糊预测模型,并使用扩展和改进后相邻节点低值传递的最短路径引导算法,实现了城市商业区泊车过程中动态最短路径与最佳路径的分析与可视查询,并介绍了模拟应用情况。更多还原

【Abstract】 By Analyzing the parking pressure and the parking management system of downtown in Shijiazhuang, and by taking into account of the dynamic constrained factors such as the position of running vehicles, the berth quantity in garage, the road status and the limit of intersection, the intelligent parking management system is designed and software developed. Based on establishing a fuzzy prediction model under the complex constrained conditions, the extended and improved shortest-path algorithm of low-value-spread between adjacent points is applied, so as to realize the analysis and visualization query of dynamic shortest-path and optimal path in the process of parking in city downtown. A simulated application of the system is introduced.更多还原