编组站远程车流组号划分模型研究
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摘要
编组站远程车流组号合理划分可大幅度缩减站内车流去向数量,对合理使用调车场线路,缓解峰尾编组压力具有积极作用。通过对远程车流组号问题进行描述和分析,建立基于网络背景下的以编组站为中心的非线性组号划分模型,采用疏松集方法和LINGO软件求解,并用算例验证模型的有效性。计算结果表明:模型对远程车流具有较好的归并效果,以每个组号均可独立使用一条存车线为要求,算例中37支始发车流合并为14个组号,显著降低了站内组号去向数量,同时,计算得出组号数量与目标函数存在反比例关系,证明扩大组号数量及扩建车场能够一定程度降低车流在途消耗。优化结果为提高车流输送效率奠定了良好的基础。
The rational division of the groupnumber of the marshaling station can greatly reduce the number of the traffic flow in the station, and it has a positive effect on the use of the shunting line and relieving the pressure of the peak tail marshaling. By analyzing and describing the problem of the long-distance groupnumber, the nonlinear groupnumber division model is established on the basis of the network. Then verify the validity of the model with an example by using the loose set method and the LINGO software. The results of the model show that the model has better merging effect on the long-distance wagon flow. It is required that each groupnumber can use one car storage line independently, and the example result indicates that the 37 start wagon flows are merged into 14 groupnumbers, which significantly reduces the number of the groupnumbers in the station. At the same time, there is an inverse relationship between the number of the groupnumbers and the target function, which proves that the expansion of the number of groupnumbers and the yard can reduce the consumption of traffic in a certain degree. Therefore, the optimization results have set a good foundation for improving the efficiency of wagon flow transportation.
The rational division of the groupnumber of the marshaling station can greatly reduce the number of the traffic flow in the station, and it has a positive effect on the use of the shunting line and relieving the pressure of the peak tail marshaling. By analyzing and describing the problem of the long-distance groupnumber, the nonlinear groupnumber division model is established on the basis of the network. Then verify the validity of the model with an example by using the loose set method and the LINGO software. The results of the model show that the model has better merging effect on the long-distance wagon flow. It is required that each groupnumber can use one car storage line independently, and the example result indicates that the 37 start wagon flows are merged into 14 groupnumbers, which significantly reduces the number of the groupnumbers in the station. At the same time, there is an inverse relationship between the number of the groupnumbers and the target function, which proves that the expansion of the number of groupnumbers and the yard can reduce the consumption of traffic in a certain degree. Therefore, the optimization results have set a good foundation for improving the efficiency of wagon flow transportation.
引文
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[5]谢金梅,徐慧星.车流径路及车流组号划分算法的研究[J].铁路运营技术,2009,15(3):18-21.
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