基于概率模型的轨道交通清分算法

Fare Clearing Algorithm based on Probabilistic Model for Urban Rail Transit

清分中心的重要职责之一是依据轨道交通网络中心各运营主体的运营贡献度进行运营收益分配。轨道交通运营收益清分的关键在于制定相对合理的清分规则,以此为基础,建立清分模型,再转化为清分算法,进而计算各运营主体的收益分配比例。建立合理的清分模型是城市轨道交通收益清分的关键。在分析传统清分模型的基础上,提出了一种"多路径大概率优先综合清分模型"。该模型兼顾了乘客多路径选择和无障碍换乘等多种因素,使收益分配更趋合理。给出了该清分模型的应用方法。

It is essential to establish a reasonable fare clearing model for urban rail transit.Upon analysis of the traditional fare clearing model,this paper proposes a synthetical fare clearing model based on big probability priority in multi-way choice,which gives dual attention to many factors like passenger's multi-way choice,barrier-free transfer and so on,and makes the income distribution more reasonable.Finally,this paper discusses an application method of this model.