@inproceedings{6f5137bb5b1d45ef9ed52480432e14e4,
title = "Vehicle travel time prediction in spatio-temporal space",
abstract = "It is recognized that travel times on a link are temporally correlated with its travel times of previous time periods. Also, the link travel time are spatially correlated by travel times on its neighboring links. Based on such temporal and spatial correlations, a new method is proposed for travel time prediction in urban roads. The proposed method is capable of rapidly predicting the link travel time in the near future. For validation of the proposed method, the temporal and spatial variance-covariance of travel times on related links are employed together with historical travel time data. It is found that the proposed method is able to provide more accurate travel time prediction.",
keywords = "Prediction, Spatial covariance, Temporal covariance, Travel time",
author = "Qing Li and Lam, {Hing Keung William} and Tam, {Mei Lam}",
year = "2013",
month = jan,
day = "31",
doi = "10.4028/www.scientific.net/AMM.253-255.1662",
language = "English",
isbn = "9783037855645",
series = "Applied Mechanics and Materials",
number = "PART 1",
pages = "1662--1665",
booktitle = "Sustainable Development of Urban Infrastructure",
edition = "PART 1",
note = "2nd International Conference on Civil Engineering and Transportation, ICCET 2012 ; Conference date: 27-10-2012 Through 28-10-2012",
}