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

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.