Author, as appears in the article.: Manlio De Domenico; Antonio Lima; Marta C González; Alex Arenas
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: DE DOMENICO ., MANLIO; Antonio Lima; Marta C González; ARENAS MORENO, ALEJANDRO
Keywords: Personalized routing Smart city
Abstract: 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.
Research group: Algorithms embedded in Physical Systems
Thematic Areas: Enginyeria informàtica Ingeniería informática Computer engineering
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2193-1127
Author identifier: 0000-0001-5158-8594; n/a; n/a; 0000-0003-0937-0334
Record's date: 2016-06-01
Last page: 11
Journal volume: 4
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-015-0038-0
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1140/epjds/s13688-015-0038-0
Entity: Universitat Rovira i Virgili
Journal publication year: 2015
First page: 1
Publication Type: Article Artículo Article
Repositori URV