Research On Optimization Of Dispatching Decision In Terminal With Irts Based On Controllable Wagon-Flows

Intelligent, information and scientific rail transport management decision is a long goal for intelligent railway transport system. Wagon-flows organization is a fundamental work for transport organization and management. The organization in terminal is pivotal throughout the wagon-flows organization. The level of wagon-flows organization in terminal not only directly affect wagon-flows unblocked in the railway system, but also can meet transport demand of rail customers and requirements of rail transport market. In addition, various operation plans of the terminal should be organized to ensure smooth transportation terminal and global optimization, so its core is wagon-flows organization in terminal. Therefore, that wagon-flows organization in terminal based on IRTS is studied is an inevitable requirement to adapt the conditions of our country and railway.For wagon-flows organization in terminal, based on analyzing the conditions of researching on it, the concept of controlled wagon-flows, passive and active organized wagon-flows are proposed. With the development of IRTS, the theory of wagon-flows organization in terminal is reinforced and consummated. According to the ideas for wagon-flows organization in terminal, the models are established to deal with dispatching decision of fully and part controllable wagon-flows in terminal with IRTS. The improved genetic algorithm for solving the models is presented. So the optimization problems of wagon-flows dispatching decision in terminal is solved satisfactorily. The contents of the thesis include the following several aspects mainly:(1) Research on the management mode of stations in railway terminal. With the adjustment of the rail productivity distribution, as an important node, the mode of station in terminal should also be adjusted accordingly, on the background of Railway Bureau managed directly the stations and train operation depots. The thesis discussed. Paper discusses that the traditional management mode have influence on transport organizations, especially wagon-flows organization. At the same time, the mode of "the large station managing small stations" and its influence on transport organizations are discussed.(2) Theory of wagon-flows organization in terminal with IRTS is perfected. On the basis of analyzing the current way of wagon-flows organization in terminal and the connotation of IRTS, the concept of controllable and active wagon-flows are proposed, so that the theory of wagon-flows organization in terminal is perfected. With the characters of the wagon-flows organization in terminal with IRTS, the dispatching decision of wagon-flows in terminal with IRTS should be a grading and layered solution process.(3) Models based on completely controllable wagon-flows dispatching decision in terminal with IRTS are built. For the shortest time of wagon-flows staying in terminal as the main optimization goals, the models of completely controllable wagon-flows dispatching decision in terminal with IRTS are built. The process of optimization is divided into three phases. The first is transferring wagon-flows dispatching decision. Secondly, with the first optimization results, local wagon-flows dispatching decision is carried out. Similarly, with the second optimization results, active wagon-flows dispatching decision is considered.(4) Models based on part controllable wagon-flows dispatching decision in terminal with IRTS are built. The concept of controallable wagon-flows is introduced into the modesl. The dispatching decision also is divided into three stages. The stochastic chance-constrained programming models of the transferring, local, and active wagon-flows dispatching decision in terminal are built. So that the models of wagon-flows dispatching decision in terminal with IRTS are more perfect and consistent with the actual production of railway transportation.(5) Algorithm for the models of wagon-flows dispatching decision in terminal with IRTS. The models of wagon-flows dispatching decision in terminal are large-scale NP-Hard problems. At the same time, dynamic dispatching also requests that the algorithm must have certain timeliness. Therefore, it is difficult to get better results by the traditional optimization methods. After comparative analysis of various modern heuristic algorithms, with the characters of the models, the integrated improved genetic algorithm is adopted, and the steps for solving the models are introduced. Finally, as an example of a railway terminal, the rationality of optimization models and the effectiveness of the algorithm are verified.The wagon-flows dispatching decisions in terminal with IRTS under various conditions are systemic studied and many helpful conclusions are drawn, which provides a new idea for wagon-flows organization in terminal. But at the same time, whereas the author's knowledge level and the limited time, there are a lot of problems that need to be lucubrated and improved in the field of wagon-flows organization in terminal with IRTS.