Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Bazzani, Armando"'
The congestion formation on a urban road network is one of the key issue for the development of a sustainable mobility in the future smart cities. In this work we propose a reductionist approach studying the stationary states of a simple transport mo
Externí odkaz:
http://arxiv.org/abs/2405.16100
Autor:
Rolando, Edoardo, Bazzani, Armando
Diffusion on complex networks is a convenient framework to describe a great variety of transport systems. Failure phenomena in a link of the network may simulate the presence of a break or a congestion effect in the system. A real time detection of f
Externí odkaz:
http://arxiv.org/abs/2311.02624
The statistical properties of human mobility have been studied in the framework of complex systems physics. Taking advantage from the new datasets made available by the information and communication technologies, the distributions of mobility path le
Externí odkaz:
http://arxiv.org/abs/2107.10546
In this paper we introduce a spectra preserving relation between graphs with loops and graphs without loops. This relation is achieved in two steps. First, by generalizing spectra results got on (m, k)-stars to a wider class of graphs, the (m, k, s)-
Externí odkaz:
http://arxiv.org/abs/1804.05988
In this paper we study two classes of graphs, the (m,k)-stars and l-dependent graphs, investigating the relation between spectrum characteristics and graph structure: conditions on the topology and edge weights are given in order to get values and mu
Externí odkaz:
http://arxiv.org/abs/1707.04204
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Transportation planning is strongly influenced by the assumption that every individual has for his daily mobility a constant daily budget of ~1 hour. However, recent experimental results are proving this assumption as wrong. Here, we study the differ
Externí odkaz:
http://arxiv.org/abs/1510.00074
Publikováno v:
Nature Communications 7:12600 (2016)
The recent availability of large databases allows to study macroscopic properties of many complex systems. However, inferring a model from a fit of empirical data without any knowledge of the dynamics might lead to erroneous interpretations [6]. We i
Externí odkaz:
http://arxiv.org/abs/1509.03752
Akademický článek
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