Stochastic Simulation of Traction Load for Urban Rail Transport Based on Dynamic Train Headway

Abstract

Traction load modeling for urban rail transport is a fundamental work, which is a necessary technique of energy consumption statistics, energy saving analysis and equipment evaluation. Dynamic train headway is the decisive factor of traction load level. The train headway in the morning peak and evening peak is the shortest, which leads to two peak loads. This paper analyzes the distribution characteristics of the headway, then based on the cosine function, it proposes a method of describing the headway on the operating day. By nonlinear curve fitting, the local volatility of the headway with the Cauchy distribution is determined. What is more, the sliding time window method is proposed to output the simulation time, train position and its load. According to the analysis of an actual case, the stochastic simulation method, we propose can accurately describe the fluctuation characteristics and probability distribution characteristics of the traction load.