System Of Evaluation And Analysis On Operation Status Of Freeway Vision

In recent years,along with the rapid development of freeway in our country,the freeway network is developing gradually.At the same time,freeway management has to be face with higher requirement and greater challenge than before.Through the study on comprehensive evaluation and analysis of operation status of freeway section,the paper provided the scientific bases and datum for freeway governor,and to improve the level of freeway network management and service,further.Considering the actuality of freeway in our country,this dissertation is studied for three important aspects on freeway section:dynamic comprehensive evaluation of operation status,the child system of incident detection and traffic flow parameters-- occupancy space. The three aspects are related to one another,and each aspect reflects the dynamic operation status of freeway section from a special side.Based on the digital image processing and the computer vision technology, the paper has conducted in-depth research in the key technologies of the system. In the aspect of system designing, considered the existing monitoring equipments in current transportation fields, the paper has designed the compatibly mode of "the video image gathering module + video detection server + video detection terminal".In the first aspect,this dissertation firstly presents the evaluation attribute system based on analyzing common attributes,then the dissertation study and analysis all existing comprehensive evaluation methods.According to the requirement of dynamic comprehensive evaluation of operation status on freeway section,the dissertation presents a new dynamic evaluation method called"classify status first,evaluate trend later".It is the first time that the dynamic comprehensive evaluation method is applied on system evaluation of traffic field.The application example proves the validity of the new method.In the study of algorithms,the paper brought forward the technology of vehicle type recognition,such as classification algorithms based on Geometrical characteristics and classification algorithms based on constant moment,thought the algorithm analysis of background model and shadow detection and moving object detection and moving target tracking.All above provided a good basis for occupancy space testing.