[
Xu, Q., Yang. K., Peng, S., Hong, L., 2018. A Distance-Adaptive Refueling Recommendation Algorithm for Self-Driving Travel. March, International Journal of Geo-Information 7(3):94. DOI:10.3390/ijgi7030094
]Search in Google Scholar
[
LKW-Einkauf, Logistik inside. https://www.gefahrgutnline.de/fm/3576/LOGISTIK_inside_LKW_Dieselverbrauch.pdf
]Search in Google Scholar
[
Delp, M., Autonomous vehicle refueling locator. US9400500B2. https://patents.google.com/patent/US9400500
]Search in Google Scholar
[
Csiszár, Cs,, Csonka, B., Földes, D., Wirth, E., Lovas, T., 2018. Az országos átjárhatóságat biztosító elektromos villám töltő-állomások helyszínét kijelölő módszer. Közlekedéstudományi szemle, Közlekedéstudományi szemle, 68 (1-4).
]Search in Google Scholar
[
Jakobson, C., 2016. Einflussgrößen auf den Kraftstoffverbrauch. Teil 1 Limousinen, Der Autokritiker. http://derautokritiker.de/technik/151016_Einflussgr%C3%B6%C3%9Fen%20auf%20den%20Kraftstoffverbrauch%20Limousinen.pdf
]Search in Google Scholar
[
Gołębiewski, W. Stoeck, T., 2014. Prediction of the Mileage Fuel Consumption of Passenger Car in the Urban Driving Cycle. Teka Commission of motorization and energetics in agriculture, Vol. 14, No. 3, 17–24.
]Search in Google Scholar
[
https://www.bussgeldkatalog.org/sprit-sparen/sparsame-autos/ - 2018.12.01
]Search in Google Scholar
[
https://www.marktundmittelstand.de/themen/nutzfahrzeuge/die-zukunft-des-autos-istnicht-nur-elektrisch-1262591/ - 2018.11.28
]Search in Google Scholar
[
Almér, H., 2015. Machine learning and statistical analysis in fuelconsumption prediction for heavy vehicles. Master’s Thesis at CSC. https://www.diva-portal.org/smash/get/diva2:846386/FULLTEXT01.pdf
]Search in Google Scholar
[
Ritz, J., Mobilitätswende – Autonome Autos erobern unsere Strassen 5,6. Springer Verlag. ISBN 978-3-658-20953-7
]Search in Google Scholar
[
Rabl, H., Makarenko, I., 2008. Spritsparendes Autofahren University of Applied Sciences Regensburg. Wissenschaftszentrum Straubing, 8.
]Search in Google Scholar
[
Rumbholz, P., Untersuchung der Fahrereinflüsse auf den Energieverbrauch und die Potentiale von verbrauchsreduzierende Verzögerungsassistenzfunktionen bei PKW.
]Search in Google Scholar
[
www.sae.org/misc/pdfs/automated_driving.pdf
]Search in Google Scholar
[
www.vda.de/de/themen/innovation-und-technik/automatisiertes-fahren/automatisiertes-fahren.html
]Search in Google Scholar
[
Polak, F., 2018. REV’s Hybrid Vehicle Range Modeling. Journal of KONES Powertrain and Transport, Vol. 25, No. 2, 281-286. DOI: 10.5604/01.3001.0012.2814
]Search in Google Scholar
[
Varga, B., Iclodean, C., Mariasiu, F., 2016. Energetic Efficiency of Vehicles Equipped with Hybrid and Electric Drive Systems. Electric and Hybrid Buses for Urban Transport. DOI: 10.1007/978-3-319-41249-8_2
]Search in Google Scholar
[
Török, A., Török, A., Heinitz, F., 2014. Usage of Production Functions in the Comparative Analysis of Transport Related Fuel Consumption. Transport and Telecommunication Journal, 15(4), 292-298.
https://doi.org/10.2478/ttj-2014-0025
]Search in Google Scholar
[
Ildarkhanov, R., 2017. The Calculation of the Fuel Cost for a Car. Periodica Polytechnica Transportation Engineering. doi:
https://doi.org/10.3311/PPtr.10553
]Search in Google Scholar
[
Szalay, Z., Tettamanti, T., Esztergár-Kiss, D., Varga, I., Bartolini, C., 2018. Development of a Test Track for Driverless Cars: Vehicle Design, Track Configuration, and Liability Considerations. Periodica Polytechnica Transportation Engineering, 46(1), 29-35. doi: https://doi.org/10.3311/PPtr.10753
]Search in Google Scholar