高峰时段公交客流分配的Logit模型改进

Improvement of public transportation assignment Logit model during peak period

首先定义了站点滞留系数,并对其进行计算,根据站点间有、无直达线路及站点拥挤情况将站点分为3类。从时间函数、换乘惩罚函数、发车间隔三个方面对Logit模型进行了改进。然后通过实例分析了模型中参数α和Tf对分配结果的影响,并对参数α和Tf进行了标定。最后对分配结果进行误差分析,验证了模型的有效性。

An improved public transportation assignment Logit model during peak period is proposed.First,the station arrest coefficient is defined and calculated.According to the transit stations with and without nonstop line and the crowding level,the stations are classified into three categories.The Logit model is improved from the aspects of the time function,sanction function and departure interval.Then,using apractical case,the influences of the parametersαand Tfin the model on the transit assignment are analyzed,andαand Tf are calibrated.Finally,error analysis of the transit assignment results is carried out,which validates the model.