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INTELLIGENT PARKING SPACE CONTROL IN A SYSTEM WITH RESERVATIONS

机译：带有保留的系统中的智能停车空间控制

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摘要

The aim of the system with reservations is to reduce the time the user needs to reach the parking space as well as to rationalize the controlling of demands in the central business districts. When applying the system with reservations, it is necessary to know the user's travel time to the parking space, as well as the time of parking. The sum of these two periods represents the parking space "occupancy". The purpose of this paper is to suggest a model for determining the total occupancy of a parking space based on 1) the user's travel time to the parking space; 2) the user's duration of parking. Considering the fact that we are dealing with values which cannot be exactly estimated, the fuzzy logic system (FLS) is used. A Neural Network (NN) is trained on the basis of data about the estimated values of the input parameters and the real value of output parameters. Thus, a hybrid model of fuzzy logic and neural networks (ANFIS) is obtained. Finally, there is an example based on the real data which shows the application possibilities of this model.
机译：带有保留的系统的目的是减少用户到达停车位所需的时间，并使中央商务区的需求控制合理化。在预订系统时，需要知道用户到停车位的旅行时间以及停车时间。这两个时期的总和表示停车位“占用率”。本文的目的是提出一种模型，该模型可基于1）用户到停车场的行驶时间来确定停车场的总占用量； 2）用户的停车时间。考虑到我们正在处理无法精确估计的值的事实，使用了模糊逻辑系统（FLS）。基于有关输入参数的估计值和输出参数的实际值的数据来训练神经网络（NN）。因此，获得了模糊逻辑和神经网络的混合模型（ANFIS）。最后，有一个基于实际数据的示例，显示了该模型的应用可能性。

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