| Reference : Assessing the Impact of Weather on Traffic Intensity |
| Scientific congresses and symposiums : Paper published in a book | |||
| Engineering, computing & technology : Civil engineering Business & economic sciences : Special economic topics (health, labor, transportation…) | |||
| http://hdl.handle.net/2268/134172 | |||
| Assessing the Impact of Weather on Traffic Intensity | |
| English | |
Cools, Mario [Universiteit Hasselt - UH > > > >] | |
| Moons, Elke [Universiteit Hasselt - UH > > > >] | |
| Wets, Geert [Universiteit Hasselt - UH > > > >] | |
| 2008 | |
| Proceedings of the 87th Annual Meeting of the Transportation Research Board (DVD-ROM) | |
| Transportation Research Board of the National Academies | |
| Yes | |
| No | |
| International | |
| Washington | |
| DC | |
| 87th Annual Meeting of the Transportation Research Board | |
| 13-01-2008 to 17-01-2008 | |
| Transportation Research Board of the National Academies | |
| Washington | |
| DC | |
| [en] The investigation of weather effects on traffic intensity is important from a road safety point of
view, because traffic intensity is noted as the first and primary determinant of traffic safety. Next to traffic safety, weather conditions affect other predominant traffic variables, namely traffic demand and traffic flow. Therefore the main objective of this study is the identification and comparison of weather effects on traffic intensity at different site locations. To assess the impact of weather conditions on traffic intensity, the upstream and downstream traffic of four traffic count locations are considered. The traffic intensity data originate from minute data coming from single inductive loop detectors, collected by the Flemish Traffic Control Center. Data concerning weather events were recorded by the Royal Meteorological Institute of Belgium. The main modeling philosophy envisaged in this study to identify and quantify weather effects is the linear regression approach. Most appealing result of this study for policy makers, is the heterogeneity of the weather effects between different traffic count locations, and the homogeneity of the weather effects on upstream and downstream traffic at a certain location. The results also indicated that snowfall, rainfall and wind speed have a clear diminishing effect on traffic intensity, while maximum temperature significantly increases traffic intensity. Further generalizations of the findings are possible by studying weather effects on local roads and by shifting the scope towards travel behavior. Simultaneously modeling of weather conditions, traffic intensity rates, collision risk and activity travel behavior is certainly a key challenge for further research. | |
| Researchers ; Professionals ; Students ; General public ; Others | |
| http://hdl.handle.net/2268/134172 |
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