基于改进DV-HOP的道路交通拥堵传感节点快速监测

Rapid Monitoring of Road Traffic Congestion Sensor Nodes Based on Improved DV-HOP

由于现有交通拥堵监控设备在海量三维交通信息中处理数据的能力较差,导致监测目标延迟较高,故设计一种基于改进DV-HOP的道路交通拥堵传感节点快速监测方法;在待监测区域安置无线视觉传感器,划分子节点与Sink节点,采集车辆通行状况和整体长度;把异常道路数据作为小概率事件,确立速率采集周期及交通状态采集周期,推算历史车辆速率均值和交通数据方差,设定拥堵临界值,分析路段是否产生拥堵;对道路交通拥堵节点进行初始化,确定全部道路交通拥堵节点,并将其转换到二维坐标中;利用改进DV-HOP算法获取道路交通拥堵节点位置信息,得出道路交通拥堵节点监测结果;实验分析表明:设计方法的均等系数值可达0.998,数据传输延时仅为3.5 s,表明交通拥堵监测精度较高。

Existing traffic congestion monitoring equipment has the poor ability of processing data in massive three-dimensional traffic information,resulting in high monitoring target delay,a fast monitoring method for the road traffic congestion sensor nodes based on improved DV-HOP was designed.A wireless vision sensor was placed in the area to be monitored,and the sub-nodes and Sink nodes were divided to collect the traffic conditions and overall length of the vehicles.The abnormal road data were regarded as small probability events,the rate acquisition period and traffic state acquisition period were established to calculate the mean rate of historical vehicles and the variance of traffic data and set the congestion critical value,which analyzed whether the road section was congested.The road traffic congestion nodes were initialized to determine all the road traffic congestion nodes and convert them into two-dimensional coordinates.The improved DV-HOP algorithm is used to achieve the location information and monitoring results of road traffic congestion nodes.The experimental results shows that the equal coefficient value of the proposed method reaches up to 0.998,with a data transmission delay of only 3.5 s,and the improved DV-HOP algorithm has a high traffic congestion monitoring accuracy.