Regression-based Approach for Bus Trajectory Estimation

被引:0
|
作者
Chen, Guojun [1 ]
Yang, Xiaoguang [1 ]
Liu, Haode [2 ]
Liu, Xianglong [2 ]
机构
[1] Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, Shanghai 201804, Peoples R China
[2] China Acad Transportat Sci, China Urban Sustainable Transport Res Ctr, Beijing 100013, Peoples R China
基金
中国国家自然科学基金;
关键词
REAL-TIME; ARRIVAL-TIME; PREDICTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The path travel time between trips are proved to be strongly linear correlated, and the regression parameters are gradually converging to a steady value with buses travel on the route. A regression-based method for bus trajectory estimation at downstream stops was proposed, and its performance on estimation accuracy was compared with the historical-based model. The research results show that the proposed regression-based model shows a conditional higher accuracy than the historical-based model on trajectory estimation, and a two-stage model for trajectory estimation was suggested.
引用
收藏
页码:1876 / 1881
页数:6
相关论文
共 50 条