Short-term traffic forecasting: Overview of objectives and methods

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Title

Short-term traffic forecasting: Overview of objectives and methods (EN)

Creator

Golias, JC (EN)

Karlaftis, MG (EN)

Vlahogianni, EI (EN)

Type

journalArticle (EN)

Partial document
Publication in journal (EN)

Article
Scientific article (EN)

Issued

2014-03-01T01:21:24Z

2004 (EN)

Year

2004 (EN)

Description

In the last two decades, the growing need for short-term prediction of traffic parameters embedded in a real-time intelligent transportation systems environment has led to the development of a vast number of forecasting algorithms. Despite this, there is still not a clear view about the various requirements involved in modelling. This field of research was examined by disaggregating the process of developing short-term traffic forecasting algorithms into three essential clusters: the determination of the scope, the conceptual process of specifying the output and the process of modelling, which includes several decisions concerning the selection of the proper methodological approach, the type of input and output data used, and the quality of the data. A critical discussion clarifies several interactions between the above and results in a logical flow that can be used as a framework for developing short-term traffic forecasting models. © 2004 Taylor and Francis Ltd. (EN)

Scientific field

Transportation (EN)

Social Sciences ▶ Social and Economic Geography
Transportation (EN)

Subject

forecasting method (EN)

traffic management (EN)

intelligent transportation system (EN)

methodology (EN)

real time (EN)

Journal

Transport Reviews (EN)

Language