research-article

A new architecture based on ARIMA models for the safety classification of inter-city routes using meteorological metrics

Authors:

Mohamed Ben Ahmed,

Anouar Abdelhakim Boudhir,

Mustapha OuardouzAuthors Info & Claims

SCA '19: Proceedings of the 4th International Conference on Smart City Applications

Article No.: 81, Pages 1 - 9

https://doi.org/10.1145/3368756.3369067

Published: 02 October 2019 Publication History

Abstract

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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Cited By

Chodakowska EBazaras DSokolovskij EKuranovic VUstinovichius L(2024)TRANSPORT RISKS IN THE SUPPLY CHAINS – POST COVID-19 CHALLENGESJournal of Business Economics and Management10.3846/jbem.2024.2111025:2(211-225)Online publication date: 25-Mar-2024
https://doi.org/10.3846/jbem.2024.21110
Mbarek AJiber MYahyaouy ASabri A(2020)Road traffic mortality in Morocco: Analysis of statistical data2020 International Conference on Intelligent Systems and Computer Vision (ISCV)10.1109/ISCV49265.2020.9204325(1-7)Online publication date: Jun-2020
https://doi.org/10.1109/ISCV49265.2020.9204325

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Published In

cover image ACM Other conferences

SCA '19: Proceedings of the 4th International Conference on Smart City Applications

October 2019

788 pages

ISBN:9781450362894

DOI:10.1145/3368756

Editors:
Ben Ahmed Mohamed
UAE University-FST of Tangier, Morocco
,
İsmail Rakıp Karașo
Karabuk University, Turkey
,
Rachid Saadane
EHTP, Casablanca, Morocco
,
Wassila Mtalaa
Luxembourg Institute of Science and Technology
,
Boudhir Anouar Abdelhakim
UAE University-FST of Tangier, Morocco

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 October 2019

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SCA2019: The Fourth International Conference on Smart City Applications

October 2 - 4, 2019

Casablanca, Morocco

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Cited By

Chodakowska EBazaras DSokolovskij EKuranovic VUstinovichius L(2024)TRANSPORT RISKS IN THE SUPPLY CHAINS – POST COVID-19 CHALLENGESJournal of Business Economics and Management10.3846/jbem.2024.2111025:2(211-225)Online publication date: 25-Mar-2024
https://doi.org/10.3846/jbem.2024.21110
Mbarek AJiber MYahyaouy ASabri A(2020)Road traffic mortality in Morocco: Analysis of statistical data2020 International Conference on Intelligent Systems and Computer Vision (ISCV)10.1109/ISCV49265.2020.9204325(1-7)Online publication date: Jun-2020
https://doi.org/10.1109/ISCV49265.2020.9204325

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