Optimization Research Of Train Operation Adjustment Model Based On Immune Ant Colony Algorithm

The train travelling diagram is a foundation of the organization of the railway transport work, and it aslo is a comprehensive technical work plan, which is affected by many kinds of factors. The train operation adjustment is refers to when the train running appears late, through to take the effective adjustment measures to adjust the train running state in order to make its resumed according to the diagram of the train operation as soon as possible, or try to make its running close to the plan of the train travelling diagram, in order to improve the efficiency of the railway transport and the transport service quality.This thesis mainly studies the model and the intelligent algorithm of the high speed railway train operation adjustment. In the paper, the train running adjustment problem studied mainly from the following several aspects:Firstly, introduced the present situation and several algorithms are commonly used of the train running adjustment now at home and abroad, and its’problems, analyzed the characteristics of the high speed railway train operation domestic:high-speed train and medium speed train share a railway line, high traffic density, transportation ability and volume is contradiction, etc.Secondly, by the analytical investigation of the train travelling diagram and the train travelling constraints, and combined with the characteristics, the principle and the measures of the high speed railway train operation adjustment, a high-speed railway train operation adjustment model is set up. Based on this, this thesis introduces the algorithms of the train operation adjustment, through the introduction of the ant colony algorithm and the artificial immune algorithm, complemented the two algorithms’advantages, in order to improve the algorithms’ convergence and global search capability, the vaccine is injected into the ant colony algorithm, which can find the optimal solution in the shortest possible time, and make the train’s situation recover as soon as possible or try to make the time delays to minimum. As a result, to reduce the influence of the train behind the late train and even to the entire line.Lastly, by the example analysis and verify the model and the algorithm of the train operation adjustment. The adjustment results indicated that the model and the algorithm is correct and feasible, through the comparison of the adjustment results between the genetic algorithm and the immune ant colony algorithm, it is concluded that the immune ant colony algorithm in the process of train running adjustment has good convergence and global search capability.