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公交时间站点是编制时刻表的基础，选择合适的时间站点不仅能提高运营分析的准确性，还能增加编制的时刻表的执行率，进而能有效地提高公交的准点率水平.目前时间站点的选择主要依据人工经验.本文创新性地提出一种基于车辆定位数据分析的自动选择方法.首先，考察公交运营业务流程，分析出时间站点应具备的主要特性；接着，挖掘定位数据，对停站时间、车头时距和区段运营时间进行深入分析，并计算出各站点相应的时间站点特征值；然后，应用层次分析法自动选择出合适的时间站点.该方法已应用于湖北十堰市公交运营规划示范中，对于运营分析以及编制准点率水平高的行车时刻表具有重要意义.

Automatic Selection of Time Points Based on AVL Data

Time points are the essential elements of time tables. The selection of appropriate time points is impartment for bus service reliability measurement and it affects the on time probability of a schedule.However,this process is normally conducted by manual according to the designers’ experiences.This paper presents an automatic method to select time points based on the advanced vehicle location (AVL) data.The characteristics of time points are first extracted from bus service process from the view of passengers,schedulers and operators,respectively.Then,the segment running time, dwell time and headway are measured based on the AVL data and the characteristic value of each time point is also calculated. Then, the appropriate time points are automatically selected by analytic hierarchy process (AHP). This time point selection approach has been successfully applied to a demonstration project in Shiyan, Hubei province of China.