摘要
为解决低频GPS数据条件下路段行程时间估计误差较大的问题,分析了车辆在道路交叉口影响区域的延误特征,根据两个相邻GPS点跨越一个或多个交叉口,以及跨越的交叉口影响区域內有无GPS点,划分了4种GPS分布类型,并设计了相应类型的基于交叉口延误计算的路段行程时间插值算法.以北京市八角地区实际GPS数据为例验证了本文算法,结果表明:在平峰和高峰时段,用本文算法计算的路段行程时间的平均绝对相对误差不超过14%;与改进插值法相比,平均估计精度提高了7.9%,在交叉口延误时间较大的路段效果更显著.
In order to solve the problem of large error in link travel time estimation with low-frequency GPS data,vehicle delay features in road intersection-affected areas were analyzed. According to whether two adjacent GPS points stride over multiple intersection-affected areas and whether there are GPS points in the intersection-affected areas,GPS distribution types were divided into four types and a difference algorithm for travel time estimation was designed based on calculation of intersection delay time. This travel time estimation algorithm was then verified using the vehicle GPS data in the Bajiao area of Beijing in a case study. The results show that the average absolute errors of link travel time estimates by the algorithm are within 14% in non-peak and rush hours. Compared with an improved interpolation method,the proposed algorithm improves the average estimate accuracy by 7. 9%,and the effect is more obvious in the link with a larger intersection delay time.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2015年第2期361-367,共7页
Journal of Southwest Jiaotong University
基金
首都世界城市顺畅交通协同创新中心资助项目(PXM2014_014212_000020)
城市道路交通智能控制人才培养资助项目(PXM2014_014212_000053)
北京市优秀人才培养资助项目(2012D005002000006)
关键词
行程时间
低频采样
延误时间
插值法
travel time
low frequency sampling
GPS
time delay
interpolation
作者简介
王志建（1982-），男，讲师，博士，研究方向为智能交通系统，E-mail：wzjian0722@163．com
