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高速铁路跨线旅客列车开行方案优化研究 被引量:10

Optimization study on high-speed railway cross-line passenger train plan
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摘要 针对高速铁路跨线旅客列车开行方案展开优化研究。从旅客和铁路部门2个角度出发,以旅客出行总支出最小和铁路部门运营成本最小作为目标函数,以客流守恒定律、区间通过能力、上座率和客流需求作为约束条件,建立高速铁路跨线列车开行方案的多目标规划模型,设计该模型的遗传算法,利用MATLAB实现算法编程求解。考虑分担率变化对开行方案的影响,结合算例分别得到传统广义成本效用函数与高铁发展趋势下跨线列车开行方案的较优解,同时验证了模型和算法的有效性。 To study the high-speed railway cross-line passenger train plan,the optimal solution was carried out.From the perspectives of both passengers and railway departments,taking the minimum total expenditure of traveling passengers and the minimum operating cost of railway department as the objective function,and taking the conservation laws of passenger flow,interval through ability,attendance and passenger flow volume demand as the constraint conditions,the multi-objective planning model was established.The corresponding genetic algorithm was designed,which was realized by MATLAB.Considering the influence of the change of share rate on the train plan,the optimal solutions for cross-line train plane based on the traditional generalized cost function and the development trend of high-speed railway are obtained,respectively.The validity of the model and algorithm is verified as well.
作者 唐洁 杨信丰 申恒宇 TANG Jie;YANG Xinfeng;SHEN Hengyu(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处 《铁道科学与工程学报》 CAS CSCD 北大核心 2019年第3期596-605,共10页 Journal of Railway Science and Engineering
基金 国家自然科学基金资助项目(71761024)
关键词 高速铁路 跨线列车 开行方案 多目标规划 遗传算法 high speed railway cross-line train train plan multi-objective programming genetic algorithm
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