Name
Title | ||
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A new architecture based on ARIMA models for the safety classification of inter-city routes using meteorological metrics |
Abstract | ||
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In Morocco, road accidents are very expensive, both human and material. According to official statistics, these accidents can cost 25 lives and more than 2,000 injuries a week [1].
These accidents are mainly due to different causes: human causes, condition of vehicles, road infrastructure and weather conditions. Weather causes can be: the presence of fog, the lack of visibility caused by a climatic phenomenon, snow and rain. A real-time weather information and forecast system will be important to minimize the risk of weather-related road accidents.
In this article, we propose a system of meteorological privatization and calculation of the degree of road safety on a route, based on meteorological data provided by the satellite Soda-Pro. System modeling and meteorological forecasting is done using the ARIMA method.
According to our results, the ARIMA models obtained are able to capture the dynamics of meteorological data and produce important forecasts.
The types of climate and the degree of safety of each road were classified from the estimated meteorological parameters to determine the safest route.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3368756.3369067 | Proceedings of the 4th International Conference on Smart City Applications |
Keywords | DocType | ISBN |
ARIMA model, Soda-Pro satellite, road safety, weather forecasting system | Conference | 978-1-4503-6289-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samir Allach | 1 | 0 | 0.34 |
| Badr Benamrou | 2 | 0 | 1.35 |
| Mohamed Ben Ahmed | 3 | 195 | 45.34 |
| Anouar A. Boudhir | 4 | 4 | 3.87 |
| Mustapha Ouardouz | 5 | 2 | 3.69 |