基于最大熵原理的地铁换乘站乘客流线优化模型  

Model of Metro Interchange Station Passenger Line Optimization Based on Maximum Entropy Principle

作　　者：漆凯[1] 

机构地区：[1]北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京100044

出　　处：《物流技术》2011年第10期87-90,共4页Logistics Technology

基　　金：中央高校基本科研业务费项目专项资金(2009JBZ012);国家自然科学基金项目(70971010;71131001)

摘　　要：合理的乘客流线设计是地铁换乘站客流组织的关键技术之一。通过引入乘客流线优化测度熵的概念,基于最大熵原理,将乘客流线优化抽象为最大化测度熵的非线性约束优化问题,并构建了乘客流线优化模型。算例结果表明,不同O-D需求下,由于流线方案与换乘站建筑空间布局匹配程度的不同,导致流线方案集合Г的概率分布p(xj)差异显著。Reasonable passenger line deign is critical to the passenger flow organization of metro interchange stations.In this paper,the concept of passenger line optimization measurement entropy is introduced and the problem of passenger line optimization is abstracted into the nonlinear constrained optimization problem that aims at maximizing the measurement entropy.Then the passenger line optimization model is formulated.The numerical result shows that the probability distribution of the passenger line portfolio varies significantly under different O-D demands due to the different matching degrees between the passenger line portfolio and topology of the interchanges station.

关 键 词：地铁换乘站 乘客流线 最大熵原理 优化模型 

分 类 号：U293.6[交通运输工程—交通运输规划与管理]