Mathematical Modeling of a Fuzzy Logic-Based Car Parking System

E.U Udo, E.O Agwu, H.U Udeami
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Abstract

This paper presents the mathematical modeling of a fuzzy logic-based car parking system. Many people are facing problems parking vehicles in parking lots in most urban cities. The technology of fuzzy-based systems is necessary for all vehicle users to acquire parking slots in cities. A smart parking system helps in obtaining information about available parking spaces, organizing and processing it, and then placing the car in a certain position. The method adopted makes use of a fuzzy-based smart car parking system to develop the usage of small parking spaces for parking lots to allow the parking of vehicles based on their weight. A set of rules was used in the fuzzy logic to control two sets of parking decisions, namely the vehicle entry decision and the inpark decision, by bearing in mind the weight of vehicles and the availability of parking spaces in the parking mall. The results obtained show that the smart car parking system keeps the availability of parking lots in equilibrium, depending on the entry and exit of vehicles. In conclusion, it was discovered that the total number of vehicles granted entry at each time interval depends on the availability of parking lots on each designated floor.
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基于模糊逻辑的停车系统数学建模
提出了一种基于模糊逻辑的停车系统的数学建模方法。在大多数城市,许多人都面临着在停车场停车的问题。基于模糊系统的技术是城市中所有车辆用户获取停车位的必要条件。智能停车系统有助于获取可用停车位的信息,并对其进行组织和处理,然后将汽车放置在特定位置。所采用的方法是利用基于模糊的智能停车系统,开发停车场小车位的使用,允许车辆根据重量停放。在模糊逻辑中使用一组规则来控制停车决策的两组,即车辆的进入决策和停车决策,同时考虑到停车中心的车辆重量和停车位的可用性。结果表明,智能停车系统使停车场的可用性保持均衡状态,并依赖于车辆的进出。最后,我们发现在每个时间间隔准许进入的车辆总数取决于每一指定楼层是否有停车场。
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