Autonomous Detection for Traffic Flow Parameters of a Vehicle-Mounted Sensing Device Based on Symmetrical Difference

Jihai Huang,Jiansen Ye

doi:10.3390/sym12010072

Abstract

Based on the research and analysis of traffic detectors, it is found that the existing vehicle detection equipment is generally vulnerable to environmental interference and the detection effect cannot meet the current traffic demand. Therefore, an automatic detection method of traffic flow parameters based on symmetrical difference was put forward. This method collects the traffic flow parameters through wireless sensor nodes. Since the safety transmission protocol of VANET (Vehicular Ad Hoc Networks) can maximize the safety channel capacity, it transmits the traffic flow parameters to the data acquisition and control equipment of the upper computer through the cross layer pre-balanced safety transmission protocol of VANET in the wireless communication unit. The data acquisition and control equipment of the upper computer uses the traffic flow detection method based on the symmetrical difference to obtain the details of the moving objects in the traffic flow so as to realize the independent detection of the traffic flow parameters of the vehicle-borne sensor equipment. Experimental results show that the designed method has anti-interference abilities for the noise and light changes. Meanwhile, this method can completely extract moving objects from the traffic flow and can improve the detection effect of the moving objects in the traffic flow. Thus, the effectiveness of the proposed method can be fully verified.

Highlights

With the rapid development of national economy and the continuous improvement of living standards, the popularization of automobiles becomes an inevitable trend
The data acquisition and control equipment of the upper computer uses the traffic flow detection method based on the symmetrical difference to obtain the details of the moving objects in the traffic flow so as to realize the independent detection of the traffic flow parameters of the vehicle-borne sensor equipment
Autonomous Detection Method for a Traffic Flow of Vehicle-Mounted Sensor Based on Symmetrical Difference

Summary

Introduction

With the rapid development of national economy and the continuous improvement of living standards, the popularization of automobiles becomes an inevitable trend. With the rapid growth of motor vehicles and traffic flow, urban traffic is facing enormous pressure [1]. The growth rate of the total mileage of a highway is 2.5%, while the annual growth rate of vehicles is more than 10%. The traffic congestion, traffic accidents, and traffic environment restrict the construction and development of economy, so it has become a common problem faced by all countries. Autonomous Detection of Traffic Flow Parameters Based on the Fusion of Multiple Symmetric. The flow chart of autonomous detection for the traffic flow parameter based on the fusion of. The symmetric flow chart differences of autonomous detection forsubtraction the traffic target flow parameter based on in the fusion multiple and background extraction is shown

Methods

Results

Discussion

Conclusion