瓶颈处停车换乘logit随机均衡选择模型

Mode choice models based on logit stochastic equilibrium in transportation (systems) with park-and-ride option

考虑从生活区到工作区有三种交通方式可供选择的情形:一是全程驾车,二是地铁直达,三是在瓶颈处停车再换乘地铁到达目的地.以瓶颈模型为基础,建立了基于logit随机均衡的交通方式选择模型.研究结果表明,设置恰当的地铁票价和停车收费水平,可以实现系统的净收益极大,此外,也存在一种地铁票价策略使地铁的收益最大,但票价水平高于系统净收益极大时的票价水平.算例结果支持了模型分析结论.

This paper studies the mode choice problem in a transportation system that comprises a subway parallel to a bottleneck-constrained highway between a residential area and a work place. People can get their destination by either auto or transit mode only; besides these two modes, they can adopt the third one, i. e., firstly drive their cars to the bottleneck, park there and then take the subway to destination. Utilizing some outputs from the well-known bottleneck model, we propose several mode choice models that correspond to the logit-based stochastic equilibrium. It is shown that there exists a scheme with suitable subway ticket and parking fee, to implement the maximization of the system's total net benefit. There also exists a scheme that maximizes the subway's profit, but is valued with higher pricing level. Numerical results are presented for the model validation.