Abstract:

      We collect and generalize the factors impacting urban rail transit traction energy consumption. We further get a more comprehensive factor system. We also establish a physical model of traction energy consumption with daily variable factors as varibles. We further establish a multiple linear regression statistical model. The model is applied to the prediction of traction energy consumption of Beijing Metro Line 2. Results indicate that the model can predict traction energy consumption with higher accuracy. The model also has good explanation and prediction capability.

Key words: urban rail transit, multiple linear regression, traction energy consumption