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Modeling Weather Conditions Consequences on Road Trafficking Behaviors

We provide a model to understand how adverse weather conditions modify traffic flow dynamic. We first prove that the microscopic Free Flow Speed of the vehicles is changed and then provide a rule to model this change. For this, we consider a thresholded linear model, corresponding to an application of a MARS model to road trafficking. This model adapts itself locally to the whole road network and provides accurate unbiased forecasted speed using live or short term forecasted weather data information.

preprint2012arXivOpen access
Guillaume AllainFabrice GamboaPhilippe GoudalJean-Noël KienJean-Michel Loubes
MethodologyApplicationsMachine Learning
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Open access5 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Guillaume AllainFabrice GamboaPhilippe GoudalJean-Noël KienJean-Michel Loubes

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