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A space–time diurnal method for short-term freeway travel time prediction.

Authors :
Zou, Yajie
Zhu, Xinxin
Zhang, Yunlong
Zeng, Xiaosi
Source :
Transportation Research Part C: Emerging Technologies. Jun2014, Vol. 43 Issue Part 1, p33-49. 17p.
Publication Year :
2014

Abstract

Highlights: [•] We propose a space-time diurnal method to predict short-term freeway travel times. [•] The method considers spatial and temporal correlation and diurnal pattern of travel times. [•] We use two distributions to model the 5-min average travel time. [•] This method provides the distribution of predicted travel times and their prediction intervals. [•] Travel time data from neighboring links can be used to improve prediction of travel times. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
0968090X
Volume :
43
Issue :
Part 1
Database :
Academic Search Index
Journal :
Transportation Research Part C: Emerging Technologies
Publication Type :
Academic Journal
Accession number :
96446640
Full Text :
https://doi.org/10.1016/j.trc.2013.10.007