信息智能化建设背景下高速公路智能化检测系统构建

Construction of Expressway Intelligent Detection System under the Background of Information Intelligence

为完善我国高速公路信息化和智能化建设,研究提出了交通事件智能检测技术和交通状态智能化分级技术。首先提出一种基于相似性理论的交通检测器布设优化策略,降低检测器布设成本;其次基于K-means聚类算法实现交通状态智能分级;最后基于交通量检测设计了交通拥挤事件智能检测模型。结果显示,该方案在行程时间预测上平均误差低于5%。实现了高速公路交通拥挤的高精度智能检测,从而有效缓解了交通压力,提高公路运输能力。

In order to improve the informatization and intelligent construction of highways in China,the intelligent detection technology of traffic events and the intelligent classification technology of traffic conditions are proposed.Firstly,a traffic detector layout optimization strategy based on similarity theory is proposed to reduce the detector layout cost;Secondly,the intelligent classification of traffic status is realized based on K-means clustering algorithm;Finally,an intelligent detection model of traffic congestion events is designed based on traffic volume detection.The results show that the average error of travel time prediction is less than 5%.Realizing high-precision intelligent detection of highway traffic congestion,which effectively relieves traffic pressure and improves highway transportation capacity.