Abstract: With purpose to reduce the traffic pressure of partial stations caused by uneven distribution of passenger flow,optimizing methods of the organization scheme of rail transit is proposed in this study.A model of bi-obj ective func-tion is developed,which includes value of travel time and load ratio of passengers.Values of transit time and waiting time are computed based on an assumption that passengers arrive at one station subordinates to uniform distribution.In order to reflect the characteristics differences of each routing section,load ratio of passengers and car base of different routings are defined based on long-short route optimization,which is more in accordance with the actual situation of the operation. A case study of Metro Line 6 in Guangzhou is conducted to verify the validity and rationality of this model.A particle swarm optimization algorithm based on global search is applied to solve the problem.The results show that,compared with the model in this study,the model only considering the value of travel time of passengers is reduced by 3.21%, while average ratio of passenger load is increased by about 20.2%.The average ratio of passenger load considering single travel time value is increased by about 2.55% under the circumstances of value of passengers travel time is reduced by 11. 98% when only considering the value of passengers travel time and the passenger load ratio comprehensively.In conclu-sion,the model propose in this study could satisfy two obj ective function values at the same time.