Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults

To solve the problem of track failure in railway system, integrative design of an emergency resource forecasting-scheduling-repairing method is proposed in this paper. In the current railway repair process, resource dispatching centers dispatch transport resources to the fault point for the repair work. In order to optimize this process, a hybrid prediction method consisting of radial basis function neuron network (RBFNN) and expert prediction method to rationally predict repair resources is proposed. In order to optimize the resource transportation path and reduce the transportation cost, a bi-objective resource scheduling method is presented in this paper. A fuzzy evaluation method combining with the prospect theory to optimally select the repairing for the repair work is formulated. Finally, experiment studies are carried out and the results illustrate the effectiveness of the proposed method.