机电工程技术2024，Vol.53Issue(12)：162-166,197,6.DOI:10.3969/j.issn.1009-9492.2024.00084
基于灰色预测技术的智能交通虚实融合实验教学模型
Intelligent Traffic Virtual-reality Integration Experimental Model Based on Grey Prediction Technology
摘要
Abstract
In order to address the issue of the disconnection between simulation platforms and experimental models caused by high algorithm complexity,an intelligent traffic virtual-reality integration experimental model based on grey prediction technology is proposed.The model consists of a visualization simulation platform and a grey calibration model based on small data.The visualization simulation platform utilizes the S7-200 SMART PLC as the controller and employs MCGS as the monitoring software for construction.By establishing an OPC server,real-time updated vehicle data is transmitted from the PLC to MATLAB software.Furthermore,the grey Bernoulli model based on the Marine Predators Algorithm is proposed.This model is applied to rolling prediction of traffic flow,and the prediction results are used as the basis for signal timing to dynamically adjust traffic lights.The experimental results indicate that the introduction of efficient grey prediction technology leads to smaller prediction errors in traffic flow sequences,with relative errors controlled below 3%.Advantage analysis reveals that the prediction model provides more accurate responses to changes and disturbances in the external environment.The experimental teaching platform shows significant improvements in terms of visualization,practicality,and intelligence.关键词
智能交通/灰色模型/MCGS/海洋捕食者算法/实验教学Key words
intelligent transportation/grey model/MCGS/marine predator algorithm/experimental teaching分类
信息技术与安全科学引用本文复制引用
李守军..基于灰色预测技术的智能交通虚实融合实验教学模型[J].机电工程技术,2024,53(12):162-166,197,6.基金项目
宿迁市科技计划项目(Z2022097) （Z2022097）
宿迁市智能制造重点实验室(M202108) （M202108）
宿迁学院实验教学和教学实验室建设研究项目(2024SYJJ03) （2024SYJJ03）
