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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7994

Title: Investigating effect of holidays on daily traffic counts - Time series approach
Authors: COOLS, Mario
WETS, Geert
Issue Date: 2007
Citation: TRANSPORTATION RESEARCH RECORD, (2019). p. 22-31
Abstract: Different modeling philosophies are explored to explain and to forecast daily traffic counts. The main objectives of this study are the analysis of the impact of holidays on daily traffic and the forecasting of future traffic counts. Data from single inductive-loop detectors, collected in 2003, 2004, and 2005, were used for the analysis. The different models investigated showed that the variation in daily traffic counts could be explained by weekly cycles. The Box-Tiao modeling approach was applied to quantify the effect of holidays on daily traffic. The results showed that traffic counts were significantly lower for holiday periods. When the different modeling techniques were compared with a large forecast horizon, Box-Tiao modeling clearly outperformed the other modeling strategies. Simultaneous modeling of both the underlying reasons of travel and the revealed traffic patterns certainly is a challenge for further research.
Notes: Hasselt Univ, Transportat Res Inst, BE-3590 Diepenbeek, Belgium.Wets, G, Hasselt Univ, Transportat Res Inst, Wetenschapspark 5,Bus 6, BE-3590 Diepenbeek, Belgium.geert.wets@uhasselt.be
URI: http://hdl.handle.net/1942/7994
DOI: 10.3141/2019-04
ISI #: 000253002300004
ISSN: 0361-1981
Category: A1
Type: Journal Contribution
Validation: ecoom, 2009
Appears in Collections: Research publications

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