Realistic modeling of smart mobility problems with environmental concerns
- Autores: Christian Cintrano López
- Directores de la Tesis: Enrique Alba Torres (dir. tes.)
, José Francisco Chicano García (codir. tes.) - Lectura: En la Universidad de Málaga ( España ) en 2022
- Idioma: español
- Tribunal Calificador de la Tesis: Eva Onaindia de la Rivaherrera (presid.) , Gabriel Jesús Luque Polo (secret.) , Pascal Bouvry (voc.)
- Enlaces
- Resumen
Traffic in cities has become a significant issue today. Not only because of the logistical problems involved but also because of the associated gas emissions. Taking into account the impact that mobility in cities has on the environment is vital for a sustainable future. Objective number 11 “Sustainable Cities and Communities”, of the Sustainable Development Goals, promote Smart Cities from the perspective of sustainability.
In this thesis, we want to dive into the problem of environmental improvement and ecological transport. However, many works in the literature do not take into account these objectives or use synthetic scenarios to test their contributions. We rely on many existing open data sources, which we include in our models to obtain realistic results. In addition, we focus our study on the actual city of Malaga, Spain. Following this line, we have also offered all the results, codes, and instances as open research data. We have used different optimization algorithms to work with the various problems raised in this thesis. We have focused mainly, but not exclusively, on metaheuristic algorithms, which have proven their incredible effectiveness in many real-world problems.
Several ecological mobility problems have been worked on within this thesis. This research has been reflected in different scientific publications that support this thesis: 3 articles in JCR journals (all Q1) and 14 congresses articles. Several problems covering various aspects of current mobility in cities have been highlighted. The selected problems are optimal traffic light planning, traffic analysis considering freight vehicles, intelligent placement of infrastructure needed for green transport (bicycles and electric vehicles), and the problem of vehicle routing considering various aspects such as travel time and emissions.
This thesis takes the first steps in environmental improvement and mobility optimization. However, we will not stop here, and we will continue working on sustainable initiatives to improve cities, help citizens’ daily lives, and enhance the environment.
