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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 721))

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Abstract

Intelligent Transportation Systems are expected to contribute to reduce vehicle emissions. Solutions include user behavior changes, which are typically vehicle sharing programs and driving habits changes. To change driving habits, people need personalized feedback on their vehicle emissions in the routes they complete. In this work, we present a smartphone based system that returns a geopositioned emission estimation on the fly. Our estimator is based on the ARTEMIS project results. The system has been successfully tested in different routes in Malaga (Spain) in highway, rural and urban areas.

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References

  1. Ahn, K., Rakha, H., Trani, A., Van Aerde, M.: Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels. J. Transp. Eng. 128(2), 182–190 (2002)

    Article  Google Scholar 

  2. André, M.: The ARTEMIS European driving cycles for measuring car pollutant emissions. Sci. Total Environ. 334–335, 73–84 (2004)

    Article  Google Scholar 

  3. André, M., Keller, M., Sjödin, Å., Gadrat, M.: The Artemis European tools for estimating the transport pollutant emissions. In: Proceedings of 18th International Emission Inventories Conference, vol. 1, p. 10 (2009)

    Google Scholar 

  4. Bell, M.C.: Environmental factors in intelligent transport systems. In: IEEE Proceedings of Intelligent Transport Systems, vol. 153, pp. 113–128 (2006)

    Google Scholar 

  5. DG Enterprise & Industry European Commision. The potential of Intelligent Transport Systems for reducing road transport related greenhouse gas emissions. Technical Report December, European Commission, DG Enterprise & Industry (2009)

    Google Scholar 

  6. Fogg, B.J., Eckles, D.: Mobile Persuasion: 20 Perspectives on the Future of Behavior Change. Stanford Captology Media, Stanford (2007)

    Google Scholar 

  7. Frey, H.C., Zhang, K., Rouphail, N.M.: Vehicle-specific emissions modeling based upon on-road measurements. Environ. Sci. Technol. 44(9), 3594–3600 (2010)

    Article  Google Scholar 

  8. Joumard, R., Rapone, M., Andre, M.: Analysis of the cars pollutant emissions as regards driving cycles and kinematic parameters (2006)

    Google Scholar 

  9. Lutsey, N., Sperling, D.: Greenhouse gas mitigation supply curve for the United States for transport versus other sectors. Transp. Res. Part D Transp. Environ. 14(3), 222–229 (2009)

    Article  Google Scholar 

  10. U.S. Environmental Protection Agency Office of Transportation and Air Quality. A Roadmap to MOVES 2004. Technical Report March (2005)

    Google Scholar 

  11. Rakotonirainy, A., Tay, R.S.: In-vehicle ambient intelligence transport systems: towards an integrated research. In: 7th International IEEE Conference on Intelligent Transportation Systems, pp. 648–651, Washingon DC, USA (2004)

    Google Scholar 

  12. Ridwan, M.: Fuzzy preference based traffic assignment problem. Transp. Res. Part C Emerg. Technol. 12(3–4), 209–233 (2004)

    Article  Google Scholar 

  13. Shaheen, S.A., Mallery, M.A., Kingsley, K.J.: Personal vehicle sharing services in North America. Res. Transp. Bus. Manag. 3, 71–81 (2012)

    Article  Google Scholar 

  14. Susan, A., Shaheen, S., Martin, E.W., Finson, R.S.: Ecodriving and carbon footprinting: understanding how public education can reduce greenhouse gas emissions and fuel use. Technical report (2012)

    Google Scholar 

  15. Silva, C.M., Farias, T.L., Frey, H.C., Rouphail, N.M.: Evaluation of numerical models for simulation of real-world hot-stabilized fuel consumption and emissions of gasoline light-duty vehicles. Transp. Res. Part D Transp. Environ. 11(5), 377–385 (2006)

    Article  Google Scholar 

  16. Review of evidence on health aspects of air pollution. REVIHAAP Project. World Health Organization (WHO) Regional Office for Europe (2013)

    Google Scholar 

  17. The Climate Group and the Global eSustainability Initiative (GeSI): SMART 2020: Enabling the Low Carbon Economy in the Information Age (2008)

    Google Scholar 

  18. VIBAT, Visioning and Backcasting for UK Transport Policy, Bartlett School of Planning, University College London. (http://www.vibat.org)

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Acknowledgements

This work has been supported by the Spanish Ministerio de Educacion y Ciencia (MEC), Project n. TEC2014-56256-C2-1-P and Universidad de Malaga.

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Correspondence to C. Urdiales .

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Cerón, M., Fernández-Carmona, M., Urdiales, C., Sandoval, F. (2018). Smartphone-Based Vehicle Emission Estimation. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_28

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  • DOI: https://doi.org/10.1007/978-3-319-73450-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73449-1

  • Online ISBN: 978-3-319-73450-7

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