基于遗传优化的智慧城市导航预约智能停车平台

I. Aydin, M. Karakose, E. Karakose
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引用次数: 88

摘要

随着科技的发展,智能设备在日常生活中变得越来越普遍。能够连接到互联网并传输数据的设备的发展一直是智慧城市设计的灵感来源。我们城市的普遍问题是很难找到免费停车位。停车问题导致交通拥堵,上班的人都在找地方。本研究针对智慧城市开发了基于导航和预约的停车建议系统。所提出的方法涉及开发使用物联网(IoT)技术将数据发送到互联网的小型设备。通过遗传算法找到离当前位置最近的空闲停车位。在不同的场景下对该方法进行了测试,得到了准确的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A navigation and reservation based smart parking platform using genetic optimization for smart cities
With the development of technology, smart devices are becoming more common in everyday life. The development of devices that can connect to the Internet and transmit data has been a source of inspiration for smart city designs. The common problem in our cities is the difficulty of finding free parking slots. The parking problem causes traffic to congest and people who go to work are looking for a place. In this study, a navigation and reservation based parking proposal system was developed for smart cities. The proposed method involves the development of small devices that send data to the internet using the internet of things (IoT) technology. The free parking space closest to the current location is found by genetic algorithm. The proposed method is tested for different scenarios and accurate results are obtained.
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