TRAVEL TIME PREDICTION FOR THE LONG HOLIDAY SEASON USING STATISTICAL TRAFFIC DATA.

Auteur(s)
Okude, M. Fujiwara, J. Yamane, K.I. & Endo, Y.
Jaar
Samenvatting

During the holiday season, traffic conditions are unusual and cannot be predicted using ordinary statistical traffic analysis. A new approach was investigated for long holiday seasons. In this paper, a day with unusual traffic conditions is called a 'singular day'. The approach consists of the following three phases: assumption of the holiday from the point of view of traffic conditions; creation of the statistical traffic data of a singular day; and identification of the singular days of the year. The statistical traffic data of the singular days were evaluated, confirming the effectiveness of the method. For the covering abstract see ITRD E134653.

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Publicatie

Bibliotheeknummer
C 41210 (In: C 40997 CD-ROM) /72 / ITRD E135128
Uitgave

In: Proceedings of the 13th World Congress and Exhibition on Intelligent Transport Systems (ITS) and Services, London, United Kingdom, 8-12 October 2006, 8 p.

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Deze publicatie behoort tot de overige publicaties die we naast de SWOV-publicaties in onze collectie hebben.