Abstract: In order to achieve the high efficiency in automatic train operation, on the basis of the analysis of the train at different stages of operation, taking parking as the key stage, analytic hierarchy process was used to get quantitative description of the importance between each performance indexes and evaluation function of parking controls comprehensive performance in this stage, then the fuzzy manipulation rules of the online control were got. The offline operation of train under the rules was simulated for several times, the different schemes in sub-regional division and start braking point selection were scored to get the parking manipulation scheme which performance indexes are the best. Finally the simulation system was designed based on VC++ platform, and it has verified that the practical effect of the train running under the control algorithm has good parking precision, comfort and time saving.

Key words: Automatic Train Operation (ATO), parking stage, fuzzy control, Analytic Hierarchy Process (AHP), expert scoring method

摘要： 为实现列车在自动驾驶下的高效率运行，在分析列车不同阶段运行情况的基础上，以停车阶段为重点，应用层次分析法，得出该阶段各性能指标之间重要性比较的定量描述以及停车控制综合性能指标的评价函数，设计出在线运行控制的模糊操纵规则。依据规则进行多次列车的离线模拟运行，对不同等分区域划分和起始制动点选取方案进行专家打分，得到性能指标最优的停车操纵方案。最后以VC++为平台设计仿真系统，验证控制算法下列车运行具有良好的停车精度、舒适性和节时性。

关键词: 列车自动驾驶, 停车阶段, 模糊控制, 层次分析法, 专家打分法