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Rionda Rodriguez A.,Adn mobile solution | Martinez Alvarez D.,Adn mobile solution | Garcia Paneda X.,University of Oviedo | Alvarez A.,Adn mobile solution | And 4 more authors.
IEEE Latin America Transactions

The ISO 50001 is an international standard oriented to the energy management. In the transport sector and in companies where the equipment is mainly combustion engine means, this energy management process is principally oriented to control the vehicle fuel consumption. In this paper, we present a service capable of monitoring how and when the fuel is consumed and offering tools to the fleet responsible to analyze and manage it. The service produces the required information and tools to support the ISO 50001 certification. To evaluate its performance, the service has been deployed in several vehicles of a garbage collector company making possible a reduction in the fuel consumption by approximately 20%. © 2015 IEEE. Source

Rionda A.,Adn mobile solution | Marin I.,Adn mobile solution | Martinez D.,Adn mobile solution | Aparicio F.,Adn mobile solution | And 4 more authors.
Conference and Exhibition - 2013 International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances, SmartMILE 2013

UrVAMM is a revolutionary system for environmental-urban monitoring in the next smart cities scenario. UrVAMM is constructing a new technology to be integrated in professional fleets of vehicles such as urban buses, garbage trucks, personal vehicles, etc. Based on the combination of two well-established technologies from Ingenieros Asesores and ADN Mobile Solutions. UrVAMM has two key objectives: a) to complement air quality monitoring in cities and b) reduction of emissions by efficient driving actions. UrVAMM is fully aligned with the new paradigm opened by the smartcity concept complying with secure, private, open and friendly data available for citizens and stakeholders. UrVAMM goes beyond the current state of art in air quality monitoring due to its innovative integration in service vehicles and its indicators in efficient driving. UrVAMM is being designed and tested under government funding and the collaboration of Gijón and Valencia bus fleets and councils. © 2013 IEEE. Source

Sanchez J.A.,University of Oviedo | Pozueco L.,University of Oviedo | Melendi D.,University of Oviedo | G Paneda X.,University of Oviedo | And 3 more authors.
IEEE Latin America Transactions

Air quality is an important problem because it has a direct impact on human health and global warming. For years, governments have been monitoring air quality using fixed stations. However, these stations only examine pollution at specific locations. Therefore, pollution studies can only be created by extrapolation. This situation may be improved by increasing the number of stations or by deploying mobile monitoring networks. When it comes to representing data, a network with fixed stations may show an evolution of measurements in time. In the case of mobile networks, a problem appears when information needs to be represented since they involve physical movement. Due to the novelty of mobile monitoring networks, there is no general consensus on how data must be represented. In this paper, we present a study conducted to determine how environmental data gathered from mobile networks should be represented. We evaluate different methods for environmental data representation according to users interpretability. We also determine the preferred type of display to access this type of information. Finally, we obtain users preferences regarding the usefulness of different types of information according to their profile. A total of 110 users have participated in the study and the results show the importance of an adequate representation of data in order to achieve a correct interpretation of the information shown. © 2003-2012 IEEE. Source

Pozueco L.,University of Oviedo | Tuero A.G.,University of Oviedo | Paneda X.G.,University of Oviedo | Melendi D.,University of Oviedo | And 5 more authors.
IEEE CITS 2015 - 2015 International Conference on Computer, Information and Telecommunication Systems

Concerns about global warming and energy costs have induced transport companies to take measures to reduce fuel consumption. Among the different options available, efficient driving is widely used, allowing a reduction in fuel consumption of around 10%. However, changing the driver's behavior is not exempt of problems. The success of efficient driving techniques in the long term is related to the motivation of the driver and, for that reason, an adaptive training system according to the driver's needs can prove much more successful than giving general instructions that do not solve their inefficiencies. Therefore, a properly description of the driver's behavior and the adaptation of the evaluation analysis to the context is a key factor for the learning process in efficient driving. In this paper we propose an adaptive learning system for efficient driving, which allows the evaluation of professional drivers of urban public transport in their work environment. With the proposed system, we can identify failure points relating to the context, making a focused evaluation. The first evaluation results show that the set of patterns designed to evaluate the application of efficient driving techniques can identify the incorrect actions of the drivers. Based on the results, it is possible to make personalized recommendations to improve driver performance. © 2015 IEEE. Source

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