Jesus Villadangos

Prof. Jesus Villadangos

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Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 May 2013 in Sensors
Verified
Journal Article
Open access
PDF file
PEPilar Elejoste
Pilar Elejoste
IAIgnacio Angulo
Ignacio Angulo
APAsier Perallos
Asier Perallos
ACAitor Chertudi
Aitor Chertudi
IZIgnacio Julio García Zuazola
Ignacio Julio García Zuazola
Jesus VilladangosJesus Villadangos
Jesus Villadangos
This paper presents an intelligent streetlight management system based on LED lamps, designed to facilitate its deployment in existing facilities. The proposed approach, which is based on wireless communication technologies, will minimize the cost of investment of traditional wired systems, which always need civil engineering for burying of cable underground and consequently are more expensive than if the connection of the different nodes is made over the air. The deployed solution will be aware of their surrounding’s environmental conditions, a fact that will be approached for the system intelligence in order to learn, and later, apply dynamic rules. The knowledge of real time illumination needs, in terms of instant use of the street in which it is installed, will also feed our system, with the objective of providing tangible solutions to reduce energy consumption according to the contextual needs, an exact calculation of energy consumption and reliable mechanisms for preventive maintenance of facilities.
5 May 2021 in IEEE Sensors Journal
Verified
Journal Article
Closed access
Jose Javier AstrainJose Javier Astrain
Jose Javier Astrain
Francisco FalconeFrancisco Falcone
Francisco Falcone
Antonio J. Lopez-MartinAntonio J. Lopez-Martin
Antonio J. Lopez-Martin
PSPablo Sanchis
Pablo Sanchis
Jesus VilladangosJesus Villadangos
Jesus Villadangos
IMIgnacio Matias
Ignacio Matias
A practical experience on monitoring the data generated by electric buses is presented, focusing on energy consumption, charge and state of the batteries. The work is carried out in the framework of a global smart city strategy developed by the H2020 Smart City Lighthouse STARDUST project. The crucial role of the data collection and transmission from electric buses has become evident in this work, so the adopted solutions are covered in detail. A practical electric bus charging station configuration is considered, operating within the city of Pamplona, Spain, with an urban route setting in which electric charging is performed. Various key factors for the practical implementation of the necessary communication infrastructure, including wireless Low Power Wide Area connectivity challenges within the urban scenario settings, based in LoRa/LoRaWAN communication system nodes. The monitoring system architecture is also presented, in which specific machine learning modules in order to collect patterns and visualization of data to enhance planning, operation and maintenance procedures.
10 March 2021 in IEEE Access
Verified
Journal Article
Open access
AAAnas Al-Rahamneh
Anas Al-Rahamneh
Jose Javier AstrainJose Javier Astrain
Jose Javier Astrain
Jesus VilladangosJesus Villadangos
Jesus Villadangos
Hicham KlainaHicham Klaina
Hicham Klaina
Imanol Picallo GuembeImanol Picallo Guembe
Imanol Picallo Guembe
Francisco FalconeFrancisco Falcone
Francisco Falcone
In the last decades, the cities' capacity for generating digital information has grown exponentially. In this context, the successful implementation of smart cities' concept depends on the current possibility of handling the significant volumes of sensed data. This is particularly notorious in the case of urban mobility. Researchers in the field of urban planning have shown a great interest in urban mobility problems, proposing different route recommendation services towards making it easier and safer to move around the city. This paper addresses the development of an urban data platform and how to obtain and integrate information from sensors and other data sources to provide aggregated and intelligent views of raw data to support urban mobility. With the aim of evaluating the efficiency of the developed platform, we present an intelligent urban mobility solution, where the context-awareness, user preferences, and environmental factors play a significant role in the process of route planning. Finally, our work provides an experiment to assess different long-range wireless communication technologies to enable its implementation within an urban environment.
18 June 2012 in Microwave and Optical Technology Letters
Verified
Journal Article
Closed access
PDF file
Leyre AzpilicuetaLeyre Azpilicueta
Leyre Azpilicueta
Francisco FalconeFrancisco Falcone
Francisco Falcone
Jose Javier AstrainJose Javier Astrain
Jose Javier Astrain
Jesus VilladangosJesus Villadangos
Jesus Villadangos
IZI.J. García Zuazola
I.J. García Zuazola
APAsier Perallos
Asier Perallos
18 May 2012 in Sensors
Verified
Journal Article
Open access
PDF file
AMAsier Moreno
Asier Moreno
IAIgnacio Angulo
Ignacio Angulo
APAsier Perallos
Asier Perallos
Hugo LandaluceHugo Landaluce
Hugo Landaluce
IZIgnacio Julio García Zuazola
Ignacio Julio García Zuazola
Jesus VilladangosJesus Villadangos
Jesus Villadangos
This paper describes a telematic system based on an intelligent van which is capable of tracing pharmaceutical drugs over delivery routes from a warehouse to pharmacies, without altering carriers’ daily conventional tasks. The intelligent van understands its environment, taking into account its location, the assets and the predefined delivery route; with the capability of reporting incidences to carriers in case of failure according to the established distribution plan. It is a non-intrusive solution which represents a successful experience of using smart environments and an optimized Radio Frequency Identification (RFID) embedded system in a viable way to resolve a real industrial need in the pharmaceutical industry. The combination of deterministic modeling of the indoor vehicle, the implementation of an ad-hoc radiating element and an agile software platform within an overall system architecture leads to a competitive, flexible and scalable solution.
15 June 2015 in IEEE Transactions on Intelligent Transportation Systems
Verified
Journal Article
Closed access
Leyre AzpilicuetaLeyre Azpilicueta
Leyre Azpilicueta
Peio Lopez-IturriPeio Lopez-Iturri
Peio Lopez-Iturri
EAErik Aguirre
Erik Aguirre
Jose Javier AstrainJose Javier Astrain
Jose Javier Astrain
Jesus VilladangosJesus Villadangos
Jesus Villadangos
FFFrancisco Falcone
Francisco Falcone
Wireless communications systems have been rapidly growing during the last two decades, and they are gaining a significant role for multiple communication tasks within public transportation buses. In this paper, the impact of topology and morphology of different types of urban buses is analyzed with the aid of an in-house developed 3D ray launching code and compared with onboard measurements of a deployed wireless sensor network (WSN). The presence of human beings has been taken into account, showing a significant influence in the signal attenuation in the case of considering persons. In addition, the statistical analysis of simulation results considering both large- and small-scale fading has been performed, providing good agreement with statistics for typical indoor environments. In addition, a WSN has been programmed and deployed within the buses in order to analyze topological impact with overall system performance, with the aim of minimizing the energy consumption as well as nondesired interference levels. The use of deterministic techniques destined to consider the inherent complexity of the buses can aid in wireless system planning in order to minimize power consumption and increase overall system capacity.