基于GPS数据的公交运行状态判别算法研究  

The Bus Operating State Discriminant Algorithm Based on GPS Data

作　　者：袁腾飞[1] 史同广[2] 李美玲[1] 

机构地区：[1]山东建筑大学交通工程学院,济南250101 [2]山东建筑大学土木工程学院,济南250101

出　　处：《道路交通与安全》2015年第2期23-27,共5页Road Traffic & Safety

基　　金：国家"十二五"科技支撑计划项目(2012BAJ15B05)

摘　　要：利用智能公交系统积累的海量公交GPS数据,把全天调度计划划分为若干不定长的时间窗,通过聚类方法把每个时间窗内的公交运行参数按照影响因素的不同组合进行精细的分类,并进一步研究每个时间窗、每类参数的分布特征,在此基础上提出了公交运行状态的判别算法.通过实例分析,验证了该算法能够有效地进行公交运行状态的判别,其有效性和精度都在可接受的范围之内.This paper first divided a day into several variable-length time windows using the GPS data collected by the intelligent transport systems. A cluster analysis was conducted to categorize the bus operation parameters according to the influencing factors of the different combination of fine classification in each time window; the distribution characteristics of each type of parameter was further examined in each time window. Based on the above analysis,a bus operating state discriminant algorithm is proposed.It is verified by the example analysis that the algorithm can effectively determine the bus operating state,and the validity and accuracy is within the acceptable range.

关 键 词：GPS数据 时间窗 聚类 公交运行参数 公交运行状态判别 

分 类 号：U491.17[交通运输工程—交通运输规划与管理]