@phdthesis{MonechiPhDThesis2014,
title = {Complex Networks and Transport Systems: Application to Air Transport and Urban Mobility},
author = {Bernardo Monechi, Vito DP Servedio, Vittorio Loreto},
url = {http://www.phys.uniroma1.it/fisica/sites/default/files/DOTT_FISICA/MENU/03DOTTORANDI/TesiFin27/Monechi.pdf},
year = {2014},
date = {2014-12-20},
address = {Piazzale Aldo Moro 5, 00185, Roma (RO), Italy},
school = {"Sapienza" University of Rome},
abstract = {This thesis is devoted to the study of transportation systems by means of Complex Systems
and Complex Network Theories. Complex Networks are a tools of inestimable value
in human transportation studies since in most of the cases the means of transportation
used by individuals to move in space are bounded to move on a complex network. The
topological properties of transportation networks can influence both the ability of individuals
to move as well as their behavior in the environment, thus a characterization of
the network is mandatory in order to understand the properties of the considered system.
The two transportation systems that have been studied in this work are the Air Transport
System and the mobility of cars in a urban environment.
The analysis and modeling of the Air Transport System is the first and most extensive
part of this thesis. In particular we will try to characterize and study the networks in
which aircraft fly, exploiting these results to build a data-driven model of Air Traffic Control.
The second part of the thesis is a continuation of the studies performed during by Pierpaolo
Mastroianni during his Master Thesis. His work concerned the analysis of GPS
tracks data in the City of Rome and the inference of statistical laws characterizing the
behavior of car drivers. My contribution to his work is the development of a model capable
of explaining some of the results presented in the Master Thesis.},
keywords = {air traffic, big data, complex network, GPS data, human mobility, local optimization, loreto, monechi, servedio, transportation network},
pubstate = {published},
tppubtype = {phdthesis}
}
This thesis is devoted to the study of transportation systems by means of Complex Systems
and Complex Network Theories. Complex Networks are a tools of inestimable value
in human transportation studies since in most of the cases the means of transportation
used by individuals to move in space are bounded to move on a complex network. The
topological properties of transportation networks can influence both the ability of individuals
to move as well as their behavior in the environment, thus a characterization of
the network is mandatory in order to understand the properties of the considered system.
The two transportation systems that have been studied in this work are the Air Transport
System and the mobility of cars in a urban environment.
The analysis and modeling of the Air Transport System is the first and most extensive
part of this thesis. In particular we will try to characterize and study the networks in
which aircraft fly, exploiting these results to build a data-driven model of Air Traffic Control.
The second part of the thesis is a continuation of the studies performed during by Pierpaolo
Mastroianni during his Master Thesis. His work concerned the analysis of GPS
tracks data in the City of Rome and the inference of statistical laws characterizing the
behavior of car drivers. My contribution to his work is the development of a model capable
of explaining some of the results presented in the Master Thesis.
