Abstract: In order to optimize the traction operation of urban rail train, and make the train operation more accurately and closely to the reality, train multi-particle model was established on the basis of train kinematic equations and hybrid optimization traction strategy. Linear interpolation was adopted in the process of traction and braking force analysis, and the selection of braking point was obtained by reverser trial method. Then, according to the set parameters of train and line, traction operation was simulated by Matlab. Simulation results show that multi-particle model compared with single-particle model, can effectively improve precision of additional resistance on variable curvature and ramp segments, and applications of linear interpolation method and hybrid optimization traction strategy make the traction simulation process closer to the actual, which could provide necessary theoretical basis for the research of urban rail train automatic operation.

Key words: urban rail train, multi-particle model, train kinematics, traction strategy