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This paper compares two kinds of Marshalling station integrated automation systems: SAM and CIPS, combining with the practical condition of Zhengzhou north station, analyzing from various angles such as safety and efficiency, finally choose the appropriate solution. In doing this, it will help to provide a strong support for the safe production and efficient transportation of Zhengzhou North Station.

The scheduling problem of shunting locomotive in marshalling station can be described as a single machine scheduling problem with distinct due window, the paper established the model of using shunting locomotive by taking the minimized the total number of tardy trains as targets. The paper proposed an adjustment method for train break-up and make-up sequence as a model algorithm, the model algorithm can be used to get the optimal train break-up sequence and make-up sequence. Based on the actual data of Fuyang North station, the paper used matlab program to realize the model algorithm, and got the optimal train break-up sequence and make-up sequence of Fuyang North station. The algorithm was proved feasible and effective.

Firstly, established the optimization model based on complete information static game theory, which see evaluation index as the participants of a game, capacity strengthening strategies as the strategies of participants, and the strategies contained in the Nash equilibrium of the game as the first step optimization results. Then structure an algorithm to secondary selection, which makes there is only one strategy in the final result. At last given a case study combined with Baoshen railway capacity strengthening scheme decision. The result indicated that the model has good applicability, and can reduce the subjective error effectively.

In this paper, a new design optimization method-cross entropy methods for passenger flow routing in passenger hubs is employed, in order to develop rational and efficient passenger flow routing program, which will help improving the passenger flow organization. According to the description and characteristics of the problem, we transform the problem into a combinatorial optimization problem, so that it is convenient to explore the best solution. The numerical example declares that the method given above can obtain the optimal solution under the condition of fixed demand. Results show that the cross entropy method is effective, and can be well applied in passenger flow routing design problem. Systematic studying the passenger terminal passenger flow routing design optimization techniques and methods and developing rational and efficient passenger flow routing program will help improving the organization of passenger flow. According to the description of the problem and the characteristics of itself, the paper transforms the problem into a combinatorial optimization problem, so that it is convenient to explore the best solution. The paper also employs the cross entropy method to solve the problems. Numerical example declares that the method given above can obtain the optimal solution under the condition of fixed demand. Results show that the cross entropy method is effective, and this method can be well applied in passenger flow routing design problem.

The conceptual introduction of the service network and its function in passenger flow assignment are given. Based on the summary of the related research results, the service networks are divided into two classes as the matrix type and the network type according to the different construction methods. The modeling principles and methods of the network type service network are then proposed. The methods are explained in three aspects including node modeling, segment (or arc) modeling, and partial network modeling, which can, for a certain physical network and a certain line plan, construct the virtual service network that is required by the passenger flow assignment process. Corresponding modifications are required when using these methods in specific researches.

This study concerned a novel super-molecular ionic liquid synthesized by ammonium thiocyanate and caprolactam. The physical characters such as melting point and electric conductivity were investigated. Results showed that the melting point is -12.2°C at the molar ratio of 3:1 (caprolactam/ammonium thiocyanate), which is much lower than raw materials. The electric conductivities of synthesized ionic liquids were close to that of imidazole ILs. The structure of ionic liquid was characterized by IR,1HNMR and quantum chemical calculations. It was shown that the NH4+cation connected with caprolactam organic molecules by hydrogen bonds, leading to the forming of a super-molecular ion. The electrostatic attraction of super-molecular ion with anion was decreased because of the larger volume of super-molecular ion than original cation, thus the melting point decreased. The key properties that distinguish super-molecular ionic liquid from other ILs were the presence of supermolecular ion, which can be used to build up a hydrogen-bonded network. This type ion liquid was named as super-molecular ion liquid.