基于潮汐可变车道技术的智慧停车管理平台建设研究  

Research on the Construction of the Intelligent Parking Management Platform Based on the Tidal Flow Lane Technology

作　　者：钟文宾 ZHONG Wenbin(Zhejang Xincheng Digital Technology Co.,Ltd.,Ningbo,Zhejiang Province,315000 China)

机构地区：[1]浙江新城数字科技有限公司,浙江宁波315000

出　　处：《科技资讯》2024年第9期19-21,共3页Science & Technology Information

摘　　要：传统的停车管理方式不仅效率低下,而且容易造成数据不准确,无法为决策者提供准确的停车信息。为此研究为提高停车管理智能化水平,基于潮汐可变车道技术并引入非线性自相关神经网络模型对其进行改进,最终设计出一款智慧停车管理平台。经实验验证,改进后的潮汐可变道技术其交通车流量预测的平均误差为3.8%,在交通高峰期间可以准确预测交通流量。智慧停车管理平台投入使用后,解决了实际使用车位数与可用停车位数之间的失衡现象,比使用智慧停车管理平台前增加了20%以上。综上可知,此次研究的智慧管理平台可以准确地分析停车数据并进行准确的预测。The traditional parking management method is not only inefficient,but also easy to cause inaccurate data,which can not provide accurate parking information for decision-makers.In order to improve the intelligent level of parking management,this study is based on the tidal flow lane technology and introduces the nonlinear autocorrelation neural network model to improve it,and finally designs an intelligent parking management platform.Experiments have verified that the average error of the traffic flow prediction of the improved tidal flow lane technology is 3.8%,which can accurately predict traffic flow during the peak traffic period.After the smart parking management platform is put into use,the imbalance between the actual number of used parking spaces and the number of available parking spaces is solved,which is more than 20% higher than that before the use of the smart parking management platform.In summary,it can be seen that the intelligent management platform in this study can accurately analyze parking data and make accurate predictions.

关 键 词：潮汐流 可变车道 智慧停车 城市交通 非线性自回归神经网络 

分 类 号：U491[交通运输工程—交通运输规划与管理]