【摘要】 利用双层规划模型进行OD估计,建立双层规划扩展模型.考虑OD估计问题中的随机误差,基于Bayes估计和多元正态分布建立上层目标函数;考虑用户路径选择行为的随机性,基于随机用户均衡建立需求可变动的下层目标函数,同时该扩展模型能适应我国混合交通的实际,既能适用于拥挤网络、也能适用于非拥挤网络,最后通过算例证明此模型的有效性.更多还原

【Abstract】 The bilevel programming model can be used to estimate origin-destination.On the basis of present achievement on the bilevel programming,the new bilevel programming is extended.The upper optimization model,which combines Bayes and muti-variable normal model,can eliminate the random errors and time effects on link accounts.The lower optimization model,following Stochastic User Equilibrium,the route choice behavior is considered.The bilevel programming model is suitable to such OD estimation problem that the traffic is mixed and the demand is elastic.At the same time,this programming is suitable to not only congested road network,but uncongested road network.Finally the extended bilevel programming is used to small-scale network,good outcome can be obtained.更多还原