Affective Analysis On Car Industry Of Road Traffic And The Process Of Urbanization

This paper study on the influence of automobile industry related with road traffic and urbanization process. At first, it makes qualitative analysis of road traffic and city process, the relationship between road traffic and city processes with automobile industry is also discussed, then it puts forward the countermeasures and refines quantitative factors, at last, quantitative estimation of sales of future passenger car and commercial vehicles was made, to provide vehicle development data for the automotive industry planning department.Access to information at home and abroad, qualitative analysis of the relationship between road traffic, the process of urbanization with the automobile industry is carried on, using the method of case studies, experience, domestic and international comparison and analog analysis the associated point among them is identified, the road traffic, the process of urbanization and the automotive industry status with its basic content are ascertained, then combined with China’s specific national conditions and the effective measures related with associated point is proposed to solve the current problems.In this article, Matlab was used to build the prediction model to realize the BP neural network. Spss software was applied to multiple linear regressions prediction. Feasibility of the model was checked and the total car sales were calculated based on historical data. A quantitative prediction of the automotive total sales at the end of2015,2020, the sales of passenger cars and the commercial vehicles is conducted. Model parameters that affecting car sales are road traffic and urbanization factors, the latter ones including the number of urban population, urban residents per capita disposable income, urbanization rate, road length of the city at the end of year, road area and highway mileage. By the accuracy test, both two models are feasible and the relative error of the BP neural network is smaller.