Departamento de Economía Aplicada
http://hdl.handle.net/10259/4147
2024-03-28T14:29:48ZSpecial Issue “Applications of Artificial Intelligence Systems”
http://hdl.handle.net/10259/7107
Special Issue “Applications of Artificial Intelligence Systems”
Baruque Zanón, Bruno; Calvo-Rolle, José Luis; Porras Alfonso, Santiago; Dolezel, Petr
Artículo editorial
2022-04-01T00:00:00ZAnalysis of traffic velocity under different weather and temporary conditions
http://hdl.handle.net/10259/7037
Analysis of traffic velocity under different weather and temporary conditions
Cogollos Adrián, Héctor; Porras Alfonso, Santiago; Baruque Zanón, Bruno
The density of traffic within urban areas depends on multiple factors, and among those; one
that has major impact is the weather. This paper presents a study that empirically analyzes
the traffic flow velocity depending on the atmospherically conditions and the day schedule.
The objective is to assess systematically to which extent there is a correlation between the
vehicle velocity on an urban environment and the weather, depending on the time of day.
The presented case of study uses a set of real data, specifically the trips made by taxis in the
city of Porto (Portugal). First, the vehicle GPS routes are analyzed to identify departure and
arrival points and estimate the route average velocity and adding weather and time
conditions. The data is processed with different regressive techniques to obtain the influence
of the variables on the velocity. The results show differences between days of the day and
weekends, as well as differences in speeds with a favorable climate for driving compared to
other more adverse ones.
Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
2021-07-01T00:00:00ZSoftware tool for analysis and visualization of GPS tracks in urban environments
http://hdl.handle.net/10259/6994
Software tool for analysis and visualization of GPS tracks in urban environments
Cogollos Adrián, Héctor; Porras Alfonso, Santiago; Baruque Zanón, Bruno
Traffic in urban environments vary significantly depending on the areas of the city and the
time of day. Nowadays, thanks to the large number of GPS devices that are integrated in all
kinds of devices, it is possible to make a quantitative analysis of traffic. This contribution
presents an application developed to analyse this information in a simple way and with a
visual representation. One of its main advantages is that it is adaptable to any city in the
world, as its internal algorithms adapt to the available data are presenting and adjusting it to
the traffic through the city. This is done by extracting information directly from the data
provided by GPS devices moving around the city. In addition, an analysis of the execution
times of all application processes is presented to determine which parts involve a higher
execution cost and determine the overall scalability of the application.
Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
2021-07-01T00:00:00ZSolving the generalized multi-port container stowage planning problem by a matheuristic algorithm
http://hdl.handle.net/10259/6195
Solving the generalized multi-port container stowage planning problem by a matheuristic algorithm
Parreño Torres, Consuelo; Çalık, Hatice; Álvarez-Valdés Olaguíbel, Ramón; Ruiz García, Rubén
We focus on a simplified container stowage planning problem where containers of different size and weight must be loaded and unloaded at multiple ports while maintaining the stability of the ship. We initially investigate how the difficulty in solving the problem changes with and without the consideration of container sizes and weight constraints. For this purpose, we provide integer programming formulations for the general problem as well as some special cases with identical container size and/or identical weights and evaluate their performance in randomly generated small- and medium-scale instances. We develop a matheuristic procedure, namely, an insert-and-fix heuristic, exploiting the special structure of the proposed formulations. The Insert-and-Fix method, in combination with a constructive algorithm that gives the solver an initial solution in each iteration, provides solutions with a low number of rehandles for instances with up to 5000 TEUs.
2021-09-01T00:00:00Z