Construction Of Traffic Energy Consumption Statistics Platform And Analysis Of Energy Consumption

With the continuous economic growth and the accelerating urbanization process,China's traffic demand and total traffic energy consumption continue to grow.Through the efforts during the "Twelfth Five-Year Plan" period,traffic energy conservation work has achieved remarkable results in some areas,but energy utilization efficiency was still low.Therefore reducing traffic energy consumption was still one of the urgent problems to be solved.This paper built a statistical platform for traffic energy consumption,obtain and analyze data to provide effective data support for energy conservation.In this paper the requirements of the energy consumption statistical platform were first analyzed.On this basis,the initial development works of the energy consumption statistical platform were carried out,including designing of the four-layer functional architecture of the platform and the technical framework based on B/S mode,definitizing the main modules and designing the main pages and display content of the platform.Then,the factors affecting the energy consumption of highway passenger transportation are qualitatively analyzed.On this basis,a series of relevant indicators with practical significance,such as turnover,were selected to build a statistical indicator system and an analysis and evaluation index system for highway passenger transportation energy consumption in Shandong Province.In addition,for the monthly operating data of the operating passenger vehicles,the quartile method was applied to detect the outliers,detection result was compared with the local outliers algorithm based on the operating data of a transport enterprise in 2018.The comparative results showed that the quartile method was more suitable for such data.Finally,the energy consumption estimation analysis model based on multiple influencing factors was designed.The correlation between the nine factors,including carrying mileage,actual loading rate and so on,and the energy consumption was analyzed using the grey correlation degree method and multiple linear regression method.After that the models were verified using the passenger bus operation data of a passenger transport enterprise in Shandong Province.Then the multiple regression method was applied to measure the importance degree and the effect on fuel consumption of different factors,based on this the corresponding energy saving measures were proposed from the perspective of transportation enterprises.The research contents of this paper could provide relevant suggestions for energy-saving measures of passenger coaches.