铁路编组站阶段计划自动调整研究

摘要

There are many complex jobs and abnormal situations in a railway marshalling process. Moreover, it is impossible to consider all the influencing factors during establishing a phase plan. So, there will be some unexpected problems when the plan is implemented. The plans needed adjusting to increase the fulfillment rate. Accordingly, an algorithm of conflict detection was designed, and the adjustment rules were set out. The rules have been completed by the self-learning algorithm to increase the adjustment efficiency and achieved the goal of plan adjusting automatically finally.%铁路编组站作业复杂，异常情况多，而且编组站阶段计划在编制过程中根本不可能考虑所有的影响因素，所以计划在执行过程中会出现一些异常问题，这时就需要对计划实施调整，以提高计划的兑现率。据此，通过知识表达的形式建立了计划自身异常及计划间冲突的调整规则，设计了计划间冲突的检测算法，并通过自学习算法不断完善调整规则集，提高计划调整效率，最终实现计划的自动调整。