A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games
Reality-enhanced gaming is an emerging serious game genre, that could contextualize a game within its real instruction-target environment. A key module for such games is the evaluator, that senses a user performance and provides consequent input to the game. In this project, we have explored an appl...
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doaj-9c15e04324a546de98dece7db050a5452020-11-25T00:14:28ZengSerious Games SocietyInternational Journal of Serious Games2384-87662018-12-015410.17083/ijsg.v5i4.266A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious GamesRana Massoud0Stefan PosladFrancesco BellottiRiccardo BertaKamyar MehranAlessandro De GloriaPHD student at university of Genova Italy and Queen Mary University of London.Reality-enhanced gaming is an emerging serious game genre, that could contextualize a game within its real instruction-target environment. A key module for such games is the evaluator, that senses a user performance and provides consequent input to the game. In this project, we have explored an application in the automotive field, estimating driver performance in terms of fuel consumption, based on three key vehicular signals, that are directly controllable by the driver: throttle position sensor (TPS), engine rotation speed (RPM) and car speed. We focused on Fuzzy Logic, given its ability to embody expert knowledge and deal with incomplete information availability. The fuzzy models – that we iteratively defined based on literature expertise and data analysis – can be easily plugged into a reality-enhanced gaming architecture. We studied four models with all the possible combinations of the chosen variables (TPS and RPM; RPM and speed; TPS and speed; TPS, speed and RPM). Input data were taken from the enviroCar database, and our fuel consumption predictions compared with their estimated values. Results indicate that the model with the three inputs outperforms the other models giving a higher coefficient of determination (R2), and lower error. Our study also shows that RPM is the most important fuel consumption predictor, followed by TPS and speed. http://journal.seriousgamessociety.org/index.php/IJSG/article/view/266Serious gameReality-enhanced gamesFuel consumptionFuzzy LogicOn-Board Diagnostics-II (OBD-II) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rana Massoud Stefan Poslad Francesco Bellotti Riccardo Berta Kamyar Mehran Alessandro De Gloria |
spellingShingle |
Rana Massoud Stefan Poslad Francesco Bellotti Riccardo Berta Kamyar Mehran Alessandro De Gloria A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games International Journal of Serious Games Serious game Reality-enhanced games Fuel consumption Fuzzy Logic On-Board Diagnostics-II (OBD-II) |
author_facet |
Rana Massoud Stefan Poslad Francesco Bellotti Riccardo Berta Kamyar Mehran Alessandro De Gloria |
author_sort |
Rana Massoud |
title |
A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games |
title_short |
A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games |
title_full |
A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games |
title_fullStr |
A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games |
title_full_unstemmed |
A Fuzzy Logic Module to Estimate a Driver’s Fuel Consumption for Reality-Enhanced Serious Games |
title_sort |
fuzzy logic module to estimate a driver’s fuel consumption for reality-enhanced serious games |
publisher |
Serious Games Society |
series |
International Journal of Serious Games |
issn |
2384-8766 |
publishDate |
2018-12-01 |
description |
Reality-enhanced gaming is an emerging serious game genre, that could contextualize a game within its real instruction-target environment. A key module for such games is the evaluator, that senses a user performance and provides consequent input to the game. In this project, we have explored an application in the automotive field, estimating driver performance in terms of fuel consumption, based on three key vehicular signals, that are directly controllable by the driver: throttle position sensor (TPS), engine rotation speed (RPM) and car speed. We focused on Fuzzy Logic, given its ability to embody expert knowledge and deal with incomplete information availability. The fuzzy models – that we iteratively defined based on literature expertise and data analysis – can be easily plugged into a reality-enhanced gaming architecture. We studied four models with all the possible combinations of the chosen variables (TPS and RPM; RPM and speed; TPS and speed; TPS, speed and RPM). Input data were taken from the enviroCar database, and our fuel consumption predictions compared with their estimated values. Results indicate that the model with the three inputs outperforms the other models giving a higher coefficient of determination (R2), and lower error. Our study also shows that RPM is the most important fuel consumption predictor, followed by TPS and speed.
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topic |
Serious game Reality-enhanced games Fuel consumption Fuzzy Logic On-Board Diagnostics-II (OBD-II) |
url |
http://journal.seriousgamessociety.org/index.php/IJSG/article/view/266 |
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