Prediction of Urban Rail Road Network Scale on Account of Genetic Algorithm

Abstract

In the context of the continuous popularity of the Internet model, the field of algorithms is also making great strides. Traditional statistics and calculation methods are often used to calculate the volume of urban rail(UR) road network, but today, under the condition of rapid growth of network demand, the traditional methods have been very inefficient and far from meeting the current statistical methods. Then, in view of this practical problem, the prediction on account of algorithm is often used. Using the method on account of algorithm to predict the volume of UR road network shows that it is very efficient, which is the sure result of the development of modern network society. We must attach great importance to the research of algorithm. This paper studies the related problems of UR road network scale on account of genetic algorithm, introduces the definition, tenet and related contents on account of genetic algorithm, explains the related problems and knowledge of UR road network, and demonstrates the UR road network scale on account of genetic algorithm, From the perspective of data demonstration, this paper makes an effective method to predict the volume of UR road network. On account of genetic algorithm, this paper uses relevant means to test the prediction problem. The results show that it has achieved good results. The efficiency of fault tolerance, effectiveness, convergence and accuracy of UR road network scale prediction reaches 87.12%, 91.03%, 94.03% and 98.03% respectively.