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All issues Volume 100 (2019) E3S Web Conf., 100 (2019) 00043 References
Open Access
Issue
E3S Web Conf.
Volume 100, 2019
11th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2019
Article Number 00043
Number of page(s) 8
DOI https://doi.org/10.1051/e3sconf/201910000043
Published online 10 June 2019
  1. N. Zacharof, G. Fontaras, B. Ciuffo, S. Tsiakmakis, K. Anagnostopoulos, A. Marotta, J. Pavlovic, Review of in use factors affecting the fuel consumption and CO2 emissions of passenger cars (Publications Office of the European Union, Luxembourg, 2016) [Google Scholar]
  2. L. Schipper, Transport Policy 18, 358-372 (2011) [CrossRef] [Google Scholar]
  3. B. Beusen, S. Broekx, T. Denys, C. Beckx, B. Degraeuwe, M. Gijsbers, K. Scheepers, L. Govaerts, R. Torfs, L.I. Panis, Transport. Res. D-Tr. E. 14, 514–520 (2009) [CrossRef] [Google Scholar]
  4. K. Brundell-Freij, E. Ericsson, Transport. Res. D-Tr. E. 10, 213–229 (2005) [CrossRef] [Google Scholar]
  5. A. Kopczyński, Z. Liu, P. Krawczyk, E3S Web of Conferences 44, 00074 (2018) [CrossRef] [EDP Sciences] [Google Scholar]
  6. W. Gis, J. Pielecha, J. Waśkiewicz, M. Gis, M. Menes. IOP Conf. Ser.-Mat. Sci. 148 (2016) [Google Scholar]
  7. A. Kopczyński, P. Piórkowski, P. Roszczyk, IOP Conf. Ser.-Mat. Sci. 421, 022016 (2018) [Google Scholar]
  8. E. Ericsson, Transport. Res. D-Tr. E. 5, 213–229 (2005) [Google Scholar]
  9. A. Kopczyński, P. Krawczyk, J. Lasocki, E3S Web of Conferences 44, 00073 (2018) [CrossRef] [EDP Sciences] [Google Scholar]
  10. J. N. Barkenbus, Energ. Policy 38, 762–769 (2010) [CrossRef] [Google Scholar]
  11. I. Jeffreys, G. Graves, M. Roth, Transport. Res. D-Tr. E. 60, 85–91 (2018) [CrossRef] [Google Scholar]
  12. Y. Huang, E. C. Y. Ng, J. L. Zhou, N. C. Surawski, E. F. C. Chan, G. Hong, Renew. Sust. Energ. Rev. 93, 596–609 (2018) [CrossRef] [Google Scholar]
  13. Y. Lei, K. Liu, Y. Fu, X Li, Z. Liu, S. Sun, Research on driving style recognition method based on driver’s dynamic demand, Adv. Mech. Eng. 8, 1–14 (2016) [Google Scholar]
  14. Y. Wang, W. Qu, Y. Ge, X. Sun, K. Zhang, Plos One 13, e0202126 (2018) [CrossRef] [PubMed] [Google Scholar]
  15. Z. Chłopek, J. Lasocki, P. Wójcik, A. J. Badyda, Int. J. Green Energy 15, 773–779 (2018) [CrossRef] [Google Scholar]
  16. Z. Chłopek, J. Biedrzycki, J. Lasocki, P. Wójcik, Eksploatacja i Niezawodnosc - Maintenance and Reliability 17, 35-41 (2015) [CrossRef] [Google Scholar]
  17. A. Szumanowski, Y. Chang, Z. Liu, P. Krawczyk, Int. J. Vehicle Des. 76, 1–19 (2018) [CrossRef] [Google Scholar]
  18. J. Merkisz, M. Gis. E3S Web of Conferences 44, 00109 (2018) [CrossRef] [EDP Sciences] [Google Scholar]
  19. J. Casanova, N. Fonseca, F. Espinosa, Proc. 17th Transport and Air Pollution Symp. and 3rd Environment and Transport Symp., 2-4 June 2009, Toulouse, France (2009) [Google Scholar]
  20. N. Fonseca, J. Casanova, F. Espinosa, Proc. 18th International Symp. Transport and Air Pollution, 18-19 May 2010, Dübendorf, Switzerland (2010) [Google Scholar]
  21. I. Berry, The effects of driving style and vehicle performance on the real-world fuel consumption of U.S. light-duty vehicles (PhD thesis, Massachusetts Institute of Technology, Massachusetts, 2010) [Google Scholar]
  22. E. K. Nam, C. A. Gierczak, J. W. Butler, A comparison of real-world and modeled emissions under conditions of variable driver aggressiveness (82nd Annual Meeting of the Transportation Research Board, 12-16 January 2003, Washington DC, 2003) [Google Scholar]
  23. R. Daniel, T. Brooks, D. Pates, SAE Technical Paper, 2009-01-0236 (2009) [Google Scholar]
  24. J. S. Stichter, Investigation of vehicle and driver aggressivity and relation to fuel economy testing (PhD thesis, University of Iowa, Iowa, 2012) [Google Scholar]
  25. Argonne National Laboratory, https://www.anl.gov/ [online] [accessed 24.01.2019] [Google Scholar]
  26. JEC (JRC-Eucar-Concawe), Well-To-Wheels Report Version 4.a: Well-to Wheels Analysis of Future Automotive Fuels and Powertrains in the European Context (Publications Office of the European Union, Luxembourg, 2014) [Google Scholar]

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