Modeling Weather Conditions Consequences on Road Trafficking Behaviors

Allain, Guillaume, Gamboa, Fabrice, Goudal, Philippe, Kien, Jean-Noël, Loubes, Jean-Michel

arXiv.org Machine Learning 

T is commonly accepted that adverse weather conditions modify significantly traffic flow dynamics in a complex way. Actually, it is well known that bad weather conditions such as, heavy rain, fog, snow, induce a significant decrease on traffic flow speeds. Note that it can be partially explained by the legal speed regulations. However, if several studies conclude that road traffic speed decreases during adverse weather, this trend is only confirmed. Furthermore, up to our knowledge, no quantitative analysis has been conducted to forecast the evolution of the observed speed of vehicles.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found