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

来源：

2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013年

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

页码：1876 / 1881

页数：6

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