【摘要】 随着高速铁路逐步成网,普速铁路的运输能力得到了极大释放,铁路运输系统之间原有的平衡状态需要重新协调。对于编组站能力的既有研究,大多采用"定值"形式及"刚性"协调策略,不能有效揭示子系统的匹配变化规律。综合考虑编组站能力的波动性及动态适应性,以系统静态、动态协调为目标,构建了编组站子系统能力协调模型,并通过引入缓冲算子的功效系数法对多目标函数进行简化,利用区间占优及区间分析理论对目标函数与困难约束中的不确定性区间参数进行处理。基于双向三级六场编组站设置算例参数,并通过Lingo软件对模型进行求解,结果表明当车站上行系统列流量为136列、下行系统列流量为130列时,能够达到编组站子系统能力协调模型的最优状态,证明所用方法是一种研究编组站子系统能力的有效方法。更多还原

【Abstract】 With the formation of high-speed railway networks, the capacity of existing railways has been greatly released. Consequently, the original balance among railway transportation systems needs to be reconciled. Most existing research on the capacity of marshalling stations uses a "fixed value" representation and a "rigidity" coordination strategy, which cannot effectively reveal the variation in matching laws of the subsystem. By considering the capacity volatility and dynamic adaptability of the marshalling station and by aiming for static and dynamic coordination, a marshalling station subsystem capacity coordination model is developed. The multi-objective function is simplified by using the efficiency coefficient method. The uncertainty parameters in the objective function and the difficult constraints are processed by employing interval analysis theory. Example parameters are set based on two-way three grades and six yards marshalling station, using Lingo, to solve the model. The results show that an optimal state of the marshalling station subsystem capacity coordination model can be achieved when the station uplink system wagon flow is 136 and the downlink system wagon flow is 130. This can be an effective measurement for studying marshalling station subsystem capacity.更多还原