The application provides a
train operation scheme compiling method and device based on a distributed robust chance constraint model, and the method comprises the following steps: taking the number of trains in a
direct process as a decision variable, and constructing a distributed robust chance constraint model for
train operation scheme compilation with the target of minimizing operation cost; the distributed robust chance constraint model is converted into a mixed
integer linear programming model through
linearization; the optimal value under the planning of a deterministic problem is calculated according to the passenger demand sample under the worst distribution, and an initial feasible solution is obtained according to the optimal value, wherein the initial feasible solution is used for representing the upper bound of the feasible region of the mixed
integer linear programming model; the mixed
integer linear programming model is solved according to the initial feasible solution, and a
train operation scheme is obtained. In the case that the passenger demand cannot be accurately estimated, the method can still meet all passenger demands with a given probability, and realizes the fast and accurate compilation of a train operation scheme meeting the passenger demand.