Autor segons l'article: Manlio De Domenico; Antonio Lima; Marta C González; Alex Arenas
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: DE DOMENICO ., MANLIO; Antonio Lima; Marta C González; ARENAS MORENO, ALEJANDRO
Paraules clau: Personalized routing Smart city
Resum: 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.
Grup de recerca: Algorithms embedded in Physical Systems
Àrees temàtiques: Enginyeria informàtica Ingeniería informática Computer engineering
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2193-1127
Identificador de l'autor: 0000-0001-5158-8594; n/a; n/a; 0000-0003-0937-0334
Data d'alta del registre: 2016-06-01
Pàgina final: 11
Volum de revista: 4
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-015-0038-0
DOI de l'article: 10.1140/epjds/s13688-015-0038-0
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2015
Pàgina inicial: 1
Tipus de publicació: Article Artículo Article
Repositori URV