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Towards a Reality-Enhanced Serious Game to Promote Eco-Driving in the Wild

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Games and Learning Alliance (GALA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11899))

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Abstract

Reality-enhanced serious games (RESGs) incorporate data from the real world to enact training in the wild. This – with the proper cautions due to safety - can be done also for daily activities, such as driving. We have developed two modules that may be integrated as field user performance evaluators in third-party RESGs, aimed at improving driver’s fuel efficiency. They exploit vehicular signals (throttle position, engine revolutions per minute and car speed), which are easily accessible through the common On-Board Diagnostics-II (OBD-II) interface. The first module detects inefficient and risky driving manoeuvres while driving, in order to suggest improvement actions based upon fuzzy rules, derived from analyzing naturalistic driving data. The second module provides an eco-driving categorization for a drive via two indicators, fuel efficiency and throttle position values. The estimation of fuel efficiency for the whole trip relies on the mentioned signals, plus the OBD-II calculated engine load. Data from ‘enviroCar’ project’s, a naturalistic driving archive, was used in a simulation. The results are promising in terms of accuracy and encourage further steps towards more effective modules to support a better driving performance, for RESGs.

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Acknowledgements

This research was partially funded as part of a Joint Doctorate Interactive and Cognitive Environments (JD-ICE) between the University of Genova, Elios Lab, in agreement with Queen Mary University of London. We also acknowledge technical support given by the enviroCar open Citizen Science Platform (in from 52 North).

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Authors and Affiliations

  1. Elios Lab, University of Genoa, Genoa, Italy

    Rana Massoud, Francesco Bellotti, Riccardo Berta & Alessandro De Gloria

  2. IoT2US Lab, Queen Mary University of London, London, UK

    Rana Massoud & Stefan Poslad

Authors
  1. Rana Massoud
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  2. Francesco Bellotti
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  3. Stefan Poslad
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  4. Riccardo Berta
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  5. Alessandro De Gloria
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Corresponding authors

Correspondence to Rana Massoud , Francesco Bellotti , Stefan Poslad , Riccardo Berta or Alessandro De Gloria .

Editor information

Editors and Affiliations

  1. University of Malta, Msida, Malta

    Antonios Liapis

  2. University of Malta, Msida, Malta

    Georgios N. Yannakakis

  3. National Research Council of Italy, Palermo, Italy

    Manuel Gentile

  4. Leibniz-Institut für Wissensmedien, Tübingen, Germany

    Manuel Ninaus

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Massoud, R., Bellotti, F., Poslad, S., Berta, R., De Gloria, A. (2019). Towards a Reality-Enhanced Serious Game to Promote Eco-Driving in the Wild. In: Liapis, A., Yannakakis, G., Gentile, M., Ninaus, M. (eds) Games and Learning Alliance. GALA 2019. Lecture Notes in Computer Science(), vol 11899. Springer, Cham. https://doi.org/10.1007/978-3-030-34350-7_24

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  • DOI: https://doi.org/10.1007/978-3-030-34350-7_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34349-1

  • Online ISBN: 978-3-030-34350-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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