Trip Travel Time Forecasting Based on Selective Forgetting Extreme Learning Machine
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Travel time estimation on road networks is a valuable traffic metric.
In this paper, we propose a machine learning based method for trip travel time estimation in road networks.
The method uses the historical trip information extracted from taxis trace data as the training data.
An optimized online sequential extreme machine, selective forgetting extreme learning machine, is adopted to make the prediction.
Its selective forgetting learning ability enables the prediction algorithm to adapt to trip conditions changes well.
Experimental results using real-life taxis trace data show that the forecasting model provides an effective and practical way for the travel time forecasting.
American Psychological Association (APA)
Gui, Zhiming& Yu, Haipeng. 2014. Trip Travel Time Forecasting Based on Selective Forgetting Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1046490
Modern Language Association (MLA)
Gui, Zhiming& Yu, Haipeng. Trip Travel Time Forecasting Based on Selective Forgetting Extreme Learning Machine. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1046490
American Medical Association (AMA)
Gui, Zhiming& Yu, Haipeng. Trip Travel Time Forecasting Based on Selective Forgetting Extreme Learning Machine. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1046490
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046490