Autor según el artículo: Manlio De Domenico; Antonio Lima; Marta C González; Alex Arenas
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: DE DOMENICO ., MANLIO; Antonio Lima; Marta C González; ARENAS MORENO, ALEJANDRO
Palabras clave: Personalized routing Smart city
Resumen: Human mobility in a city represents a fascinating complex system that combines social interactions, daily constraints and random explorations. New collections of data that capture human mobility not only help us to understand their underlying patterns but also to design intelligent systems. Bringing us the opportunity to reduce traffic and to develop other applications that make cities more adaptable to human needs. In this paper, we propose an adaptive routing strategy which accounts for individual constraints to recommend personalized routes and, at the same time, for constraints imposed by the collectivity as a whole. Using big data sets recently released during the Telecom Italia Big Data Challenge, we show that our algorithm allows us to reduce the overall traffic in a smart city thanks to synergetic effects, with the participation of individuals in the system, playing a crucial role.
Grupo de investigación: Algorithms embedded in Physical Systems
Áreas temáticas: Enginyeria informàtica Ingeniería informática Computer engineering
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2193-1127
Identificador del autor: 0000-0001-5158-8594; n/a; n/a; 0000-0003-0937-0334
Fecha de alta del registro: 2016-06-01
Página final: 11
Volumen de revista: 4
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-015-0038-0
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1140/epjds/s13688-015-0038-0
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2015
Página inicial: 1
Tipo de publicación: Article Artículo Article
Repositori URV