Multiobjective Optimization and Weight Selection Method for Heavy Haul Trains Trajectory

Energy-saving, punctuality and smoothness are difficult to achieve in the operation of heavy haul train. This paper proposes a multi-objective method for speed curve optimization. Firstly, a quadratic programming optimization model is established, using train kinetic energy and train force as independent variables and several goals of energy conservation, smoothness, and target speed tracking. Under the supplied weight vector, the model can realize the ideal speed curve under unbounded time. Secondly, in order to address the demand for punctuality, this paper develops a weight selection algorithm to optimal weight vector for any given trip time. Finally, a time-bounded multi-objective speed curve optimization model is proposed, which achieves energy conservation, punctuality and smoothness train operation. The simulation indicates that the proposed algorithm outperforms human driving in multi-objectives. And the designed time bounded weight selection algorithm is more efficient than the conventional linear approaching weight search method.

Automated summary

This paper proposes a multi-objective method for speed curve optimization in heavy haul train operation, achieving energy conservation, punctuality, and smoothness through an optimization model and a weight selection algorithm.