Fuzzy decision adjustment of train operation plan for high-speed rail network based on multi-objective optimization

The intelligent adjustment of train operation plan (TOP) is helpful to the efficiency of high-speed rail (HSR) network. This paper attempts to adjust the TOP quickly and intelligently after operation faults, thereby minimize the delay, contain the scope of influence and improve passenger satisfaction. Firstly, the features of a single scheduling section were analyzed based on train flow, highlighting the necessity to design section-specific TOP adjustment strategy and optimization objectives. Next, multiple optimization objectives were designed based on the identified features and passenger satisfaction, and weighted through stochastic intuitionistic fuzzy decision. Finally, the firefly algorithm was improved into chaotic firefly algorithm (CFA) to solve our model. The effectiveness of our algorithm was confirmed through simulation. The research results shed important new light on the TOP adjustment in the HSR network. © 2020 Lavoisier. All rights reserved.