Probit随机均衡选择模型在P&R需求预测中的应用

Probit-based Stochastic Equilibrium Used in the Demand Forecasting of P&R Planning

在进行停车换乘(P&R)设施规划的过程中,直接使用Logit选择模型进行方式划分存在着重大的缺陷,故需建立人们出行选择的Probit随机均衡选择模型及其仿真解法。应用实例表明,在停车换乘需求预测中使用Probit随机均衡选择模型,可以有效地解决Logit模型中存在的问题。

In the planning of the Park-and-Ride system, direct using Logit choice models may lead to significant errors. Therefore, the Probit-based stochastic equilibrium model is developed, and the solution algorithm is put forward. Numerical results show that it is efficient and fleasible for solving problems due to Logit model.