Abstract
Adverse weather conditions are undesirable for drivers and can sometimes cause fatal accidents. In this article, we propose a driver assistance system, offering more secured routes as their weather conditions are more favorable compared to others.
Specifically, we propose a system able to forecast meteorological parameters based on the ARIMA models. These parameters play an important role on the classification of the degree of road safety of the three selected routes which connect Tangier and Tetouan cities. The meteorological data for the three routes are extracted from the MERRA-2 Web Service (Modern retrospective analysis for research and applications, version 2).
According to the prediction and classification results, the obtained ARIMA models are capable to assimilate the dynamics of meteorological data and produce important forecasts.
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Allach, S., Benamrou, B., Ahmed, M.B., Boudhir, A.A., Ouardouz, M. (2020). Meteorological Parameters Prediction Along Roads Between Two Cities for the Safest Itinerary Selection. In: Ben Ahmed, M., Boudhir, A., Santos, D., El Aroussi, M., Karas, İ. (eds) Innovations in Smart Cities Applications Edition 3. SCA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-37629-1_63
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