Energy-saving Effect Analysis of Policies Based on Passenger Cars Fuel Accounting Model

In recent years, the problem of energy consumption and emission pollution caused by fast growing private cars is becoming more and more serious. How to build a fuel accounting model for private passenger cars and analyzing the macro energy saving effect of different TDM (Traffic Demand Management) policies are essential to urban traffic related energy saving and emission reduction. Considering the problem that the accuracy of energy consumption data derived from conventional survey for private passenger cars is poor and unable to meet the delicacy management requirements of urban traffic energy conservation and emission reduction. In this study, using the existing survey data and monitoring data and based on the method of "OLS (Ordinary Least Square) + Robust standard deviation", the significant influencing factors are analyzed, and an accounting model of energy consumption for private passenger car based on traffic big data and applies it to the macro analysis of energy saving effect of TDM policy is proposed. The reliability and effectiveness of the proposed model are then verified by using the measured data of Beijing. Finally, the macro effect of private car's energy saving under different TDM policies (including combined policies) are analyzed. The result shows that when the policy effect indicators change at the same rate, the total fuel consumption reduction resulted from the policy combination of congestion charging and controlling the number of large-displacement passenger cars is largest. Copyright © 2018 by Science Press.