| Since the high speed railway train operation plan is regarded as the important part of the transportation organization, its stop schedule plan comes to be a key to train running plan. Hence, it has a substantial reality to conduct the scientific analysis and reasonable design for the stop schedule plan.First, the thesis scrutinizes the stop schedule plans at home and abroad, and takes the Shinkansen in Japan and the Wuhan-Guangzhou railway and Beijing-Guangzhou railway in China for case studying. The study covers the station service of frequency, OD service of frequency, stop ways and proportions among the different types of stop schedule plans.Then, on the basis of the achievements of the stop schedule plan for the high speed railway, the thesis provides the theoretical definition, classification and the portfolio models, meanwhile it summarizes factors of influence in the causation of the stop schedule plan.Next, it is stated that the information entropy-gray correlation analysis method of major node division theories are employed in this process, which aims to conduct a service-oriented and multi-objective optimization model for the minimum trip time loss and the average section attendance balanced index in assistance of the genetic algorithm.The evaluation index system is also designed from the foundation of the evaluation theoretical analysis and the factors of influence in the causation of the stop schedule plan; the feasibility is discussed for the information entropy-gray correlation analysis method to the evaluation.At last, the vadility of the stop schedule plan is determined through the evaluation and the model algorithm mentioned above in the demonstration of the Wuhan-Guangzhou high speed railway. |
