Aiming at current energy-saving operation of urban rail trains on time

an energy-saving operation control strategy of trains based on simulated annealing（SA）improved particle swarm optimization（PSO）is proposed.Firstly

on the basis of considering dynamic characteristics of trains

interval speed limit and line gradient

dynamic model for trains and optimal control model for energy-saving on-time for trains are established.Secondly

the energy-saving control model of trains is solved by combining the compression factor PSO algorithm of SA with the operation conditions

and the energy-saving operation conditions of trains are obtained.Converting the speed sequence and position coordinate points

the minimum energy consumption value of energy-saving operation between urban rail trains can be obtained.Finally

a B-type vehicle on line 4 of urban rail transit is selected for simulation verification.The simulation results show that the energy consumption of train operation is reduced by 12.94 % after the optimization of the improved PSO algorithm by SA

and the requirement of accurate parking is satisfied

thereby providing an energy-saving target speed curve for the operation of the urban rail train ATO system.