Research on the operating environment cost nonlinear estimation methods of the green high-speed railway

Research purposes: To define the influential content of the operating environment of high-speed railway, and estimate its operating environment cost, on the basis of calculation content of the operating environment of high-speed railway, the cost-significant (CS) theory and neural network method were put forward to predict the environmental costs of proposed operating projects in this paper. Meanwhile, Changsha-Yiyang inter-city railway environmental costs prediction results proved the applicability and accuracy of the model. Research conclusions: (1) Use the cost-significant (CS) theory to confirm cost-significant items of high-speed railway, and then it can simplify the workload of environment cost estimation. (2) Neural network method has applicability in high-speed railway operating environment cost estimation. (3) High-speed railway operating cost database need to be supplemented further in order to improve accurate estimation. (4) The nonlinear estimation methods of high-speed railway which suggested in this paper, can be applied in operating environment cost estimation. © 2016, Editorial Department of Journal of Railway Engineering Society. All right reserved.