考虑用户风险态度的不确定离散交通网络设计模型  

Model and Algorithm of Discrete Network Design Problem Considering Risk Attitude of Users Under Uncertainty

作　　者：蔚欣欣[1,2] 陆化普[1] 李悦[1] 

机构地区：[1]清华大学交通研究所,北京100084 [2]交通运输部规划研究院,北京100028

出　　处：《北京工业大学学报》2013年第4期582-586,593,共6页Journal of Beijing University of Technology

基　　金：国家教育部博士点基金资助项目(20070003065);国家"863"计划资助项目(2007AA11Z202;2007AA11Z233)

摘　　要：为克服传统网络优化不考虑不确定条件下用户选择行为的问题,作者以交通供给和需求不确定性为基本前提,根据期望效用理论建立考虑用户风险态度的不确定交通网络设计模型,给出了基于Monte Carlo模拟、遗传算法和间隙函数法的网络优化模型的求解方法,并给出了算例.Nguyen Dupuis网络的计算结果表明用户的风险态度对于不确定网络建设决策有重要影响.In this paper, supply and demand elements were supposed as stochastic variables. A new discrete network design model with expected utility theory under supply and demand uncertainty was set up to determine the optimal project scheduling, which could describe the risk attitude of users. Monte Carlo simulation algorithm, genetic algorithm and gap function algorithm were integrated to solve the problem. Numerical results on Nguyen Dupuis network indicate that risk attitude of users have great impact on decision making.

关 键 词：离散交通网络设计 期望效用 风险态度 双层模型 间隙函数 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]