An android based ecodriving assistance system to improve safety and efficiency of internal combustion engine passenger cars |
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| Institution: | 1. Department of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russian Federation;2. CNRS – Université de Bordeaux, Institut de Chimie de la Matière Condensée de Bordeaux, 33608 Pessac Cedex, France;3. CNRS – Université de Bordeaux, PLACAMAT UMS 3626, 33608 Pessac Cedex, France;1. Department of Toxicology, University Medical Center, Obere Zahlbacher Strasse 67, D-55131 Mainz, Germany;2. Paterson Institute for Cancer Research, University of Manchester, Wilmslow Road, Manchester, M20 4BX Manchester, UK;3. Centre de Recherche en Cancérologie de Marseille, CNRS-UMR7258, Inserm-U1068, Institut Paoli-Calmettes, Université Aix-Marseille, France;1. Group of Paleoanthropology MNCN-CSIC, Department of Paleobiology, Museo Nacional de Ciencias Naturales-CSIC, Calle José Gutiérrez Abascal 2, 28006 Madrid, Spain;2. Department of Paleoanthropology, Senckenberg Research Institute and Natural History Museum, Senckenberganlage 25, 60325 Frankfurt, Germany;3. Institut Català de Paleoecologia Humana i Evolució Social (IPHES), Àrea de Prehistòria, Universitat Rovira i Virgili, Zona Educacional 4 - Campus Sescelades URV (Edifici W3), Unidad Asociada al CSIC, 43007 Tarragona, Spain;4. Universitat Rovira i Virgili, Avda. Catalunya, 35, 43002 Tarragona, Spain;5. Museo Anatómico, departamento de Anatomía Humana, Universidad de Valladolid, Calle Ramón y Cajal 7, 47005 Valladolid, Spain;1. Università degli Studi di Milano, Department of Earth Sciences “Ardito Desio”, via L. Cicognara 7, 20129 Milano, Italy;2. Politecnico di Milano, DICA, Piazza Leonardo da Vinci 32, 20133 Milano, Italy |
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| Abstract: | Recent improvements of communication technologies leads to several innovations in road vehicles energy consumption. As an example, several ecodriving applications already appeared on all smartphone application markets. Using embedded smartphone signals, such applications provide real time feedback to drivers according to their performances. However most of these applications does not take into account upcoming events such as curves, slopes or crossings to advise the driver on the best actions to undertake to lower energy consumption. Furthermore, they do not analyze data coming from vehicle sensors. In this paper, we present an android application, developed within the FP7 European project ecoDriver, which provides several innovative properties: advice according to upcoming events, a real time evaluation of the driving behavior, the analysis of past actions, an interface with OBD2 connector and some more. This paper further develops the complete architecture and links between each innovative function. Future works will concentrate on integrating image processing in this application in order to detect the possible presence of a front vehicle. |
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| Keywords: | Ecodriving Smartphone Consumption |
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