Trip Travel Time Forecasting Based on Selective Forgetting Extreme Learning Machine. (18th December 2014)

• Record Type: Journal Article
• Authors: Gui, Zhiming; Yu, Haipeng
• Other Names: Ahmed-Ali Tarek Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-12-18
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/829256
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.