多目标列车节能调度模型及模糊优化算法  

Multi-objective Energy-saving Train Scheduling Model Based on Fuzzy Optimization Algorithm

作　　者：王德春[1] 李克平[1] 李想[1] 

机构地区：[1]北京交通大学轨道交通控制与安全国家重点实验室,北京100044

出　　处：《科学技术与工程》2012年第12期2869-2873,共5页Science Technology and Engineering

基　　金：国家自然科学基金(71101007);国家高技术研究发展计划(2011AA110502)资助

摘　　要：在保证行车安全、满足乘客需求的基础上,以节能为目标的列车调度模型及算法得到了广泛研究与应用。伴随着欧盟制定了全球首个碳排放交易体系,碳排放指标交易费用受到越来越多的重视,并逐步成为列车运营成本的重要组成部分。建立了以能耗成本、碳排放成本、列车运行时间为优化目标的单线列车调度模型,并采用多目标模糊优化算法进行求解。算例以一条铁路线路为研究对象,在Lingo下对算例进行求解分析,结果表明了多目标模糊优化算法具有很好的优化能力,并能达到节能减排的效果。The train scheduling model and algorithm for energy-saving target are extensively researched and applied on the basis of traffic safety and passenger demands.As the EU has developed the world＇s first carbon emission trading scheme,the expenses for buying/selling the carbon emission allowances are paid more and more attention.A multi-objective train scheduling model on single-track railways by minimizing the total running time as well as the energy and carbon emission cost is propose.The model is solved by a fuzzy multi-objective optimization algorithm to obtain a non-dominated solution.Numerical example is given to illustrate the model and solution methodology on a small network.The result shows that the fuz

关 键 词：列车调度 能量消耗 碳排放 多目标优化 

分 类 号：U292.4[交通运输工程—交通运输规划与管理]