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