FUZZY TRAIN ENERGY CONSUMPTION MINIMIZATION MODEL AND ALGORITHM

Train energy saving problem investigates how to control trainʹs velocity such that the quantity of energy consumption is minimized and some system constraints are satised. On the assumption that the trainʹs weights on dierent links are estimated by fuzzy variables when making the train scheduling strategy, we study the fuzzy train energy saving problem. First, we propose a fuzzy energy consumption minimization model, which minimizes the average value and entropy of the fuzzy energy consumption under the maximal allowable velocity constraint and traversing time constraint. Furthermore, we analyze the properties of the optimal solution, and then design an iterative algorithm based on the Karush-Kuhn-Tucker conditions. Finally, we illustrate a numerical example to show the eectiveness of the proposed model and algorithm.