Two-objective train operation optimization based on eco-driving and timetabling

In urban railway systems, the timetable guides the section operation of the single train and the arrangement of the train group to meet the dual needs of cost and passengers. This paper proposes a two-objective train operation optimization based on eco-driving and timetabling to restore a more realistic scene, including a method level and an objective level. For the method level, the speed curve optimization of the single train and the timetable optimization of the train group are adopted jointly. For the objective level, both the total energy consumption of the train group and the consuming time of passengers are considered. A hybrid solution strategy based on quadratic programming and improved artificial bee colony algorithm is proposed. A hardware-in-the-loop platform is built to carry out validation experiments. Both the cases in general hours and special hours are verified based on the actual data from Beijing Metro Line 15. The results show that both the energy consumption and the passenger consuming time are reduced simultaneously. Correspondingly, the speed curve and the time distribution of the timetable are individually optimized based on the fluctuating passenger flow. The paper proposes a joint speed curve and timetable optimization method with energy consumption and passenger consuming time as the objectives.image

Automated summary

A train operation optimization method based on eco-driving and timetabling is proposed in this paper. By jointly optimizing the speed curve and timetable, considering both energy consumption and passenger consuming time, the method aims to reduce energy consumption and passenger consuming time in urban railway systems.