重载铁路装车端空车配送模型

Model of Empty Car Distribution in the Loading End of Heavy Haul Railway

根据重载铁路空车调整具有以列为单位、装车点对空车列到达时间要求高等特点,定义满意度隶属函数,以车流平衡、到发时间间隔为约束条件,以装车点满意度最大及空车列空费时间最小为目标函数,建立重载铁路装车端空车配送的多目标模糊规划模型,采用混合遗传算法求解。以大秦铁路为例,采用建立的模型和算法,计算和比较湖东站单独作为空车列分解站、湖东站和大新站联合作为空车列分解站2种方案。结果表明:增加大新站作为装车端的空车列分解站,装车点满意度可提高13.66%,空车列空费时间则可降低87.67%,能更好地满足装车点对空车列到达时间等方面的要求及线路通过能力的限制。

The empty cars of heavy haul railway are distributed in the form of a train, and the loactlng stations make higher request on the arrival time of empty cars trains. The jurisdiction function of satisfaction was defined to reflect the requirement of the loading stations on arrival time of empty cars trains, with the traffic flow equilibrium and the interval time between arrival and departure trains as constraints, a multiobjective fuzzy planning model of empty cars distribution scheme in heavy haul railway loading end was established, taking the maximum satisfaction of the loading stations and minimum wasting time of empty cars trains as the objective functions. Hybrid genetic algorithm was employed to work out the solutions. Da-Qin Railway was taken as an example. Two empty cars distribution schemes were calculated respectively by the constructed model and algorithm. One was taking Hudong Station as the disassembled station alone, and the other was taking Hudong Station and Daxin Station as the united disassembled station. The calculation results indicate that, if Daxin Station were added as the disassembled station for empty cars trains, the satisfaction degree of the loading stations could be raised by 13.66% and the wasting time of empty cars trains could be reduced by 87.67%, which could better meet the requirement of the loading stations on the arrival time of empty cars trains and the restriction of the carrying capacity.