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| Titel |
Dynamic risk simulation to assess natural hazards risk along roads |
| VerfasserIn |
J. Voumard, O. Caspar, M.-H. Derron, M. Jaboyedoff |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 11 ; Nr. 13, no. 11 (2013-11-05), S.2763-2777 |
| Datensatznummer |
250085549
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| Publikation (Nr.) |
 copernicus.org/nhess-13-2763-2013.pdf |
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| Zusammenfassung |
Risk generated by natural hazards on roads is usually calculated with
equations integrating various parameters related to hazard and traffic.
These are static variables, like an average number of vehicles crossing this
section every day and an average vehicle speed. This methodology cannot take
into account dynamic variations of traffic and interactions between vehicles
such as speed modifications due to windy roads, slowdowns resulting from
saturated traffic or vehicle tailbacks forming in front of traffic lights.
Here we show, by means of a dynamic traffic simulator, that traffic
variations may greatly influence the risk estimation over time. The risk is
analysed on several sections of an Alpine road in Switzerland using a
dynamic vehicles approach, and compared with the results of the static
methodology. It demonstrates that risk can significantly increase on sinuous
sections because of decreasing vehicle speed. For example, along an 800 m-long section of road containing two hairpin bends, the dynamic risk is about
50% higher than the static one. Badly placed signalization, slowing down,
or stopping the vehicles in a hazardous area may increase the risk by about
150% (i.e. 2.5 times higher) along a straight road section where vehicles
speed is high.
A more realistic risk can thus be obtained from a dynamic approach,
especially on mountain roads. The dynamic traffic simulator developed for
this work appears to be a helpful tool to support decision-making in
reducing risk on mountain roads and it shows the importance of keeping the
traffic moving as freely as possible. |
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