SARIMA vs. Prophet: Comparative Efficacy in Forecasting Traffic Accidents Across Ecuadorian Provinces

This study aimed to evaluate the comparative predictive efficacy of the SARIMA statistical model and the Prophet machine learning model for forecasting monthly traffic accidents across the 24 provinces of Ecuador, addressing a critical research gap in model selection for geographically and socioecon...

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Principais autores:	Wilson Chango, Ana Salguero, Tatiana Landivar, Roberto Vásconez, Geovanny Silva, Pedro Peñafiel-Arcos, Lucía Núñez, Homero Velasteguí-Izurieta
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-12-01
coleção:	Computation
Assuntos:	SARIMA Prophet traffic accident prediction time series forecasting model selection Ecuador
Acesso em linha:	https://www.mdpi.com/2079-3197/14/1/5
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