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Parking guidance system based on intelligent terminal

机译:基于智能终端的停车引导系统

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In this paper, we studied the progression of parking guidance system technology and application in recent years. We carried on the demand analysis according to parking guidance system. We designed the architecture of parking guidance system. we introduced the ant colony algorithm, and improved the heuristic function and strategy for topology updating of ant colony algorithm based on busy state road factor. We searched the optimal traffic path by using improved ant colony algorithm. We built the structural model of parking location, described the concept of optimal path in this paper. We completed the simulation experiment and analyzed the result of optimal driving path simulation experiment.
机译:在本文中,我们研究了近年来停车引导系统技术和应用的发展。我们根据停车指导系统进行了需求分析。我们设计了停车引导系统的体系结构。介绍了蚁群算法,并改进了基于繁忙状态道路因素的蚁群算法拓扑更新的启发式功能和策略。我们使用改进的蚁群算法搜索了最佳交通路径。我们建立了停车位的结构模型,描述了最优路径的概念。我们完成了模拟实验,并分析了最佳驾驶路径模拟实验的结果。

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