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
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
DOI: 10.1016/j.trc.2015.04.026
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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