| In normal case, heavy haul trains operate according to the schedule timetable. However, in the actual railway traffic, some emergencies will inevitably appear, such as line fault, temporary construction, locomotive fault, extra train and bad weather. Considering the characteristics of heavy haul transport, these cases become especially true. The direct result is that trains can’t run as scheduled, or even the entire operation will be seriously affected. Therefore, it is necessary in theoretical and practical aspects for heavy railway to research the train operation adjustment on specific scenarios.Firstly, the paper analyses some common factors which affects trains’ operation, and on this basis, it sums up several typical scenarios of train operation adjustment. Next, the paper analyses and summarizes trains adjustment principles and measures, forming adjustment strategies of heavy haul railway. From the above, it makes out adjustment strategies of heavy haul railway in accordance with different scenarios. Secondly, it builds three different models, namely the general adjustment model, the combined adjustment model and the extra train adjustment model, based on the characteristics of adjustment scenarios and strategies. Three adjustment models with different emphasis aim to adapt to different adjustment scenarios and achieve different scheduling measures. Such as the general adjustment model is suitable for scenes which has a small impact for train operation, and mainly achieve normal operation by adjusting the interval running time, station stop time and the train track intervals; the train combined adjustment model is aimed at the case of the build-up of trains at the station, and it takes the merger strategy to convey the trains as soon as possible. The extra adjustment model can determine the additional train optimal scheme to solve the problem of temporary additional train. Then in the solution method, the paper designs corresponding algorithm respectively for different optimized models based on the PSO algorithm. At last, the three adjustment model and algorithms are validated by the actual data of Shuohuang railway. |