Autor según el artículo: Bassolas A; Gómez S; Arenas A
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Arenas Moreno, Alejandro / Bassolas Esteban, Aleix / Gómez Jiménez, Sergio
Palabras clave: Road networks Network centrality Mobile phone Human mobility Congestion Complex networks road networks network centrality human mobility complex networks
Resumen: Congestion emerges when high demand peaks put transportation systems under stress. Understanding the interplay between the spatial organization of demand, the route choices of citizens and the underlying infrastructures is thus crucial to locate congestion hotspots and mitigate the delay. Here we develop a model where links are responsible for the processing of vehicles, which can be solved analytically before and after the onset of congestion, and provide insights into the global and local congestion. We apply our method to synthetic and real transportation networks, observing a strong agreement between the analytical solutions and the Monte Carlo simulations, and a reasonable agreement with the travel times observed in 12 cities under congested phase. Our framework can incorporate any type of routing extracted from real trajectory data to provide a more detailed description of congestion phenomena, and could be used to dynamically adapt the capacity of road segments according to the flow of vehicles, or reduce congestion through hotspot pricing.© 2022 The Authors.
Áreas temáticas: Multidisciplinary sciences Multidisciplinary Medicina veterinaria Matemática / probabilidade e estatística Interdisciplinar Geociências Ciências biológicas i Ciências agrárias i Ciência da computação Biodiversidade Astronomia / física Antropologia / arqueologia
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: alexandre.arenas@urv.cat sergio.gomez@urv.cat
Identificador del autor: 0000-0003-0937-0334 0000-0003-1820-0062
Fecha de alta del registro: 2024-02-17
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://royalsocietypublishing.org/doi/full/10.1098/rsos.220894
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Royal Society Open Science. 9 (10): 220894-220894
Referencia de l'ítem segons les normes APA: Bassolas A; Gómez S; Arenas A (2022). A link model approach to identify congestion hotspots. Royal Society Open Science, 9(10), 220894-220894. DOI: 10.1098/rsos.220894
DOI del artículo: 10.1098/rsos.220894
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications
Repositori URV