Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2011

Abstract

Real-time road traffic prediction is a fundamental capability needed to make use of advanced, smart transportation technologies. Both from the point of view of network operators as well as from the point of view of travelers wishing real-time route guidance, accurate short-term traffic prediction is a necessary first step. While techniques for short-term traffic prediction have existed for some time, emerging smart transportation technologies require the traffic prediction capability to be both fast and scalable to full urban networks. We present a method that has proven to be able to meet this challenge. The method presented provides predictions of speed and volume over 5-min intervals for up to 1 h in advance.

Keywords

Intelligent transport systems, Predictive modeling, Speed, Volume

Discipline

Numerical Analysis and Scientific Computing | Transportation

Research Areas

Intelligent Systems and Optimization

Areas of Excellence

Digital transformation

Publication

Transportation Research Part C: Emerging Technologies

Volume

19

Issue

4

First Page

606

Last Page

616

ISSN

0968-090X

Identifier

10.1016/j.trc.2010.10.002

Publisher

Elsevier

Additional URL

https://doi.org/10.1016/j.trc.2010.10.002

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