厦门大学学报（自然科学版）2017，Vol.56Issue(3)：442-448,7.DOI:10.6043/j.issn.0438-0479.201605006
基于ε-支持向量机回归的快速公交到站时间预测
The Bus Rapid Transit Arrival Time Prediction Based on ε-SVR
摘要
Abstract
In this article,we select ε-support vector machine regression (e-SVR) algorithm to predict the bus rapid transit (BRT)arrival time,in order to improve the public transport on time.The bus stop time and road travel time models are established.During the modeling process,seven dimensional features such as the headway,time,weather etc.,are chosen as model inputs.Artificial investigation method is used to collect the data of Xiamen BRT-1.These data are normalized during the modeling process.Simulation results show that the model can accurately predict bus running time of Xiamen BRT-1.Results verify that weather factors exert the highest influence on the arrival time of Xiamen BRT-1.关键词
支持向量机回归/快速公交/到站时间/停靠时间/车头时距Key words
support vector regression/bus rapid transit/arrival time/stop time/headway分类
交通工程引用本文复制引用
张洋,程恩..基于ε-支持向量机回归的快速公交到站时间预测[J].厦门大学学报（自然科学版）,2017,56(3):442-448,7.基金项目
福建省教育厅中青年教师教育科研项目(JA15673) （JA15673）
