Optimizing Utilization Of Electric Multiple-Unit On Passenger Dedicated Lines

As one of the main conveyances of passengers on PDL (Passenger Dedicated Lines), the EMU(Electricity Multiple Unit) takes up a significant proportion of the total investment in the construction of PDL, so, a series of studies on the issue of EMU operation have been conducted, such as how to reduce the EMU’s investment through optimizing the using and maintenance of it by reasonable transportation organization thus reducing the number required to finish the given tasks. This paper aims to research issue of the optimized use and reasonable maintenance of the EMU on PDL from the point of view of the optimized connection of trains which includes:1. Based on abundant domestic and foreign research achievements, this article summarized the benefits of existing researches, analyzed the limitations, and pointed out the significance of further research.2. Using the mothod of summarizes and system analysis, this paper analyzed the influence factors and laws of the optimization of EMU operation. It maked clear the core is to minimize the number of EMUs that can realize train schedules and balancing the utilization of them.3. Combining the theory and method of EMU operation and mathematical programming, based on the definition of optimization conditions and basic parameters of EMU operation, this paper respectively established the mathematical model under the different mode of EMU operation.4. Using the method of network theory, this paper changed the mathematical model under the uncertain region operation mode into a network model which is similar to TSP network. Combined with the modern optimization algorithm, it put forward the use of tabu search ant algorithm to solve the model, and gave the solve process and procedure.5. The feasibility of the model and the algorithm is proved by the case of Wu-Guang high-speed railway line by Matlab program experiments, and the results is compared with actual condition through comparative analyzing.6. Summarized the main research work and achievement of this paper, and draw the conclusion:the model and algorithm were scientific and feasible, the results get by computer were better than actual, reduced the number of daytime maintenance, and more favourable for reducing the required number of EMU and its investment.