基于大数据的智能停车平台研究

Research on Intelligent Parking Platform Based on Big Data

近年来,赣州市的私人汽车保有量年增长率超过10%,与此相对的是停车设施匮乏,停车难成为老生常谈的市政难题。本文在物联网技术快速普及的趋势下,以大数据思想为指导设计了一种智能停车平台架构,并提出一种高峰时段的停车位推荐算法,从软件的角度为解决停车难以及引发的管理、污染资源利用等问题提供一种思路。

In recent years, the annual growth rate of private car ownership in Ganzhou has exceeded 10%. In contrast, parking facilities are scarce, and parking difficulty has become a common municipal problem. Under the trend of rapid popularization of the Internet of Things technology, this paper designs an intelligent parking platform architecture based on big data ideas, and proposes a parking space recommendation algorithm during peak hours, from the perspective of software to solve parking difficulties and the management caused by them., Pollution resource utilization and other issues provide a way of thinking.