An android based ecodriving assistance system to improve safety and efficiency of internal combustion engine passenger cars
Autor: | Olivier Orfila, Guillaume Saint Pierre, Mickaël Messias |
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Přispěvatelé: | Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs (IFSTTAR/COSYS/LIVIC), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), C11-11, EC/FP7/288611/EU/Supporting the driver in conserving energy and reducing emissions/ECODRIVER |
Rok vydání: | 2015 |
Předmět: |
TELEPHONE
Engineering 020209 energy Transportation Image processing 02 engineering and technology Smartphone application IMPACT ECOLOGIQUE 7. Clean energy Lower energy Automotive engineering Transport engineering [INFO.INFO-MC]Computer Science [cs]/Mobile Computing 0502 economics and business CONDUITE DU VEHICULE 0202 electrical engineering electronic engineering information engineering CAPTEUR INTELLIGENT Architecture Android (operating system) Civil and Structural Engineering ECONOMIE D'ENERGIE 050210 logistics & transportation SMARTPHONE business.industry 05 social sciences CONSUMPTION TRANSMISSION DE DONNEES (TELECOM) Energy consumption Computer Science Applications ECODRIVING CONDUITE (VEH) Internal combustion engine TRANSMISSION DES DONNEES Automotive Engineering INFORMATION DU CONDUCTEUR Android application business ECO CONDUITE |
Zdroj: | Transportation research. Part C, Emerging technologies Transportation research. Part C, Emerging technologies, Elsevier, 2015, 58, pp. 772-782. ⟨10.1016/j.trc.2015.04.026⟩ |
ISSN: | 0968-090X 1879-2359 |
Popis: | 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. |
Databáze: | OpenAIRE |
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