Optimization for train plan of full-length and short-turn routing under variable marshalling conditions

Abstract

According to the imbalance characteristics of passenger flow in station section in urban railway transit, optimization for train plan of full-length and short-turn routing under variable marshalling conditions is developed. The cost composition and basic constraints of the two entities of passengers and enterprises in this context are analyzed in detail. The multi-objective mixed integer nonlinear programming of the train plan is developed. And the decision variables are train formation plans and positions of turn-back stations. Convert multi-objective models into single-target models by converting costs to total costs and solve the model with MATLAB. The validity of the model is verified by a case and the sensitivities of full-length and short-turn Routing trains’ numbers are also analyzed. The results show that the operation of full-length and short-turn routing mode during peak hours can improve the passenger flow service level of the central section; the optimization of full-length and short-turn routing can further reduce the operating costs of enterprises.