摘要
以可拓学理论为基础研究列车自动驾驶算法,该算法兼顾了列车运行的安全性、舒适性、节能性、停车精度等性能指标。通过对列车自动驾驶优化操作策略进行分析,建立了评价列车运行过程的物元模型,确定关联度函数对各性能指标进行量化,利用层次分析法得到性能指标的权重,在此基础上用可拓学中的优度评价法以滚动优化的方式实现得到优化策略。本文将可拓学应用于列车自动驾驶,该方法不需要建立精确的数学模型,为研究列车自动驾驶算法提供了一个新的方向。
This paper researched on the algorithm of Autonaatic Train Operation based on the extension theory, this algorithm was taking account of the train operation safety, comfort, energy conservation, parking accuracy and so on. With the analysis of optimization operation strategy of the Train Automatic Operation, the paper built the matter-element model of evaluation train operation process, and determined the correlation function to quantify each performance index. The analytical hierarchy process was used to get the weight of perbrmance index. On this basis, it was got optimization strategy with the fitness evaluation method of extension theory in rolling optimization. This paper put the extension theory applied in Automatic Train Operation, and this method didn＇t need to establish accurate mathematical model of Automatic Train Operation. It provided a new direction for the research on algorithm
出处
《铁路计算机应用》
2013年第5期1-4,共4页
Railway Computer Application
关键词
可拓学理论
列车自动驾驶
物元模型
层次分析法
优度评价
Extension theory
Automatic Train Operation
matter-element model
analytic hierarchy process
fitness evaluation method
