基于多属性决策的最优路径选择模型  

An Optimal Path Selection Model Based on Multiple Attribute Group Decision-making

作　　者：任然[1] 靳文舟[1] 巫威眺[1] 

机构地区：[1]华南理工大学土木与交通学院,广州510641

出　　处：《交通信息与安全》2013年第2期23-26,共4页Journal of Transport Information and Safety

基　　金：国家"863"高技术计划资助项目(批准号:2007AA11Z201);国家自然科学基金资助项目(批准号:50878089)资助

摘　　要：针对最优路径选择中驾驶员个体认知差异及各评价指标的波动性,提出了1种多属性群决策的最优路径选择方法。首先为了消除各个驾驶员在路径选择过程中因心态不同而带来决策值的误差,引入驾驶员心态指标的概念,以得到各个驾驶员在最优路径选择过程中的客观评价值。其次建立最优路径选择的各个常规评价指标体系(消耗时间、路径距离、行驶舒适度、出行费用、路线熟悉度等),为消除评价指标波动性引起的误差,用区间数来描述各个评价值,并建立多目标非线性规划模型。最后进行算例验证,结果表明了该方法的有效性和优越性。For the driver's individual cognitive differences and the volatility of evaluation indicators in the optimal path selection process,a multi-attribute group decision making is proposed.Firstly,the concept of driver's mentality indicators is introduced for eliminating the errors caused by the driver's individual factors and getting an objective assessment of each driver in the process of optimal path selection.Then,in order to eliminate errors caused by the volatility of the evaluation,a conventional evaluation index system,which includes time-consuming,path distance,ride comfort,travel costs,and route familiarity of the optimal path selection,is established.In addition,the concept of interval number is introduced to describe the values of assessment.Meanwhile,a multi-objective nonlinear programming model is established.Finally,with the conducted numerical example,the results prove the method's effectiveness and superiority.

关 键 词：最优路径 多属性群决策 驾驶员心态指标 区间数 

分 类 号：U491[交通运输工程—交通运输规划与管理]