trip travel time forecasting based on selective forgetting extreme learning machine

Clicks: 175
ID: 225455
2014
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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.
Reference Key
gui2014mathematicaltrip Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Zhiming Gui;Haipeng Yu
Journal journal of power sources
Year 2014
DOI
10.1155/2014/829256
URL
http://dx.doi.org/10.1155/2014/829256
Keywords
civil engineering (general)mathematics engineering (general)

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