{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T15:25:21Z","timestamp":1772637921140,"version":"3.50.1"},"reference-count":79,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T00:00:00Z","timestamp":1647561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>The importance of a flexible and comprehensive vehicle fuel consumption model cannot be understated for understanding the implications of the modal changes currently occurring in the transportation sector. In this study, a model is developed to determine the tank-to-wheel energy demand for passenger and freight transportation within Germany for different modes of transport. These modes include light-duty vehicles (LDVs), heavy-duty vehicles (HDVs), airplanes, trains, ships, and unmanned aviation. The model further estimates future development through 2050. Utilizing standard driving cycles, backward-looking longitudinal vehicle models are employed to determine the energy demand for all on-road vehicle modes. For non-road vehicle modes, energy demand from the literature is drawn upon to develop the model. It is found that various vehicle parameters exert different effects on vehicle energy demand, depending on the driving scenario. Public transportation offers the most energy-efficient means of travel in the forms of battery electric buses (33.9 MJ\/100 pkm), battery electric coaches (21.3 MJ\/100 pkm), fuel cell electric coaches (32.9 MJ\/100 pkm), trams (43.3 MJ\/100 pkm), and long-distance electric trains (31.8 MJ\/100 pkm). International shipping (9.9 MJ\/100 tkm) is the most energy-efficient means of freight transport. The electrification of drivetrains and the implementation of regenerative braking show large potential for fuel consumption reduction, especially in urban areas. Occupancy and loading rates for vehicles play a critical role in determining the energy demand per passenger-kilometer for passenger modes, and tonne-kilometer for freight modes.<\/jats:p>","DOI":"10.3390\/en15062232","type":"journal-article","created":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T21:26:22Z","timestamp":1647811582000},"page":"2232","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Versatile Model for Estimating the Fuel Consumption of a Wide Range of Transport Modes"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8094-8621","authenticated-orcid":false,"given":"Atiquzzaman","family":"Khan Ankur","sequence":"first","affiliation":[{"name":"Institute of Techno-Economic Systems Analysis (IEK-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9215-8125","authenticated-orcid":false,"given":"Stefan","family":"Kraus","sequence":"additional","affiliation":[{"name":"Institute of Techno-Economic Systems Analysis (IEK-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"},{"name":"Chair for Fuel Cells, RWTH Aachen University, c\/o Institute of Techno-Economic Systems Analysis, Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0605-8356","authenticated-orcid":false,"given":"Thomas","family":"Grube","sequence":"additional","affiliation":[{"name":"Institute of Techno-Economic Systems Analysis (IEK-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3108-8880","authenticated-orcid":false,"given":"Rui","family":"Castro","sequence":"additional","affiliation":[{"name":"INESC-ID\/IST, University of Lisbon, 1000-029 Lisboa, Portugal"}]},{"given":"Detlef","family":"Stolten","sequence":"additional","affiliation":[{"name":"Institute of Techno-Economic Systems Analysis (IEK-3), Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"},{"name":"Chair for Fuel Cells, RWTH Aachen University, c\/o Institute of Techno-Economic Systems Analysis, Forschungszentrum J\u00fclich GmbH, 52425 J\u00fclich, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,18]]},"reference":[{"key":"ref_1","unstructured":"IPBES (2022, January 18). Summary for Policymakers of the Ipbes Global Assessment Report on Biodiversity and Ecosystem Services. Available online: https:\/\/ipbes.net\/system\/tdf\/ipbes_global_assessment_report_summary_for_policymakers.pdf?file=1&type=node&id=35329."},{"key":"ref_2","unstructured":"(2021, February 01). Indicator: Greenhouse Gas Emissions|Umweltbundesamt. Available online: https:\/\/www.umweltbundesamt.de\/en\/indicator-greenhouse-gas-emissions#at-a-glance."},{"key":"ref_3","unstructured":"(2021, October 17). Climate Change Act\u2014Climate Neutrality by 2045. Available online: https:\/\/www.bundesregierung.de\/breg-de\/themen\/klimaschutz\/climate-change-act-2021-1913970."},{"key":"ref_4","unstructured":"Climate Action Plan 2050\u2014Germany\u2019s Long-Term Emission Development Strategy|BMU The Federal Minister for the Environment, Nature Conservation, and Nuclear Safety, Available online: https:\/\/www.bmu.de\/en\/topics\/climate-energy\/climate\/national-climate-policy\/greenhouse-gas-neutral-germany-2050\/."},{"key":"ref_5","unstructured":"Amelang, S. (2020). Germany commits additional \u20ac3 bln to ease green mobility transition in car industry. Clean Energy Wire, Available online: https:\/\/www.cleanenergywire.org\/news\/germany-commits-additional-eu3-bln-ease-green-mobility-transition-car-industry."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"69","DOI":"10.3390\/vehicles1010005","article-title":"The Sensitivity in Consumption of Different Vehicle Drivetrain Concepts Under Varying Operating Conditions: A Simulative Data Driven Approach","volume":"1","author":"Jardin","year":"2019","journal-title":"Vehicles"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1109\/JPROC.2006.890127","article-title":"Modeling and Simulation of Electric and Hybrid Vehicles","volume":"95","author":"Gao","year":"2007","journal-title":"Proc. IEEE"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.apenergy.2016.01.097","article-title":"Power-based electric vehicle energy consumption model: Model development and validation","volume":"168","author":"Fiori","year":"2016","journal-title":"Appl. Energy"},{"key":"ref_9","first-page":"20100241","article-title":"Model architecture, methods, and interfaces for efficient math-based design and simulation of automotive control systems","volume":"2010","author":"Halbach","year":"2010","journal-title":"SAE Tech. Pap."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2042","DOI":"10.15282\/ijame.10.2014.21.0172","article-title":"Modelling and validation of the vehicle longitudinal model","volume":"10","author":"Ahmad","year":"2014","journal-title":"Int. J. Automot. Mech. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3141\/2428-01","article-title":"Virginia tech comprehensive power-based fuel consumption model","volume":"2428","author":"Edwardes","year":"2014","journal-title":"Transp. Res. Rec."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"100","DOI":"10.3141\/2533-11","article-title":"Modeling diesel and hybrid bus fuel consumption with Virginia Tech comprehensive power-based fuel consumption model: Model enhancements and calibration issues","volume":"2533","author":"Edwardes","year":"2015","journal-title":"Transp. Res. Rec."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1260\/2046-0430.2.4.317","article-title":"Virginia Tech Comprehensive Power-based Fuel Consumption Model (VT-CPFM): Model Validation and Calibration Considerations","volume":"2","author":"Park","year":"2013","journal-title":"Int. J. Transp. Sci. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Vagg, C., Brace, C.J., Akehurst, S., and Ash, L. (2013, January 15\u201318). Minimizing battery stress during hybrid electric vehicle control design: Real world considerations for model-based control development. Proceedings of the 2013 9th IEEE Vehicle Power and Propulsion Conference IEEE VPPC 2013, Beijing, China.","DOI":"10.1109\/VPPC.2013.6671713"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Abousleiman, R., and Rawashdeh, O. (2015, January 14\u201317). Energy consumption model of an electric vehicle. Proceedings of the 2015 IEEE Transportation Electrification Conference and Expo, ITEC 2015, Dearborn, MI, USA.","DOI":"10.1109\/ITEC.2015.7165773"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.energy.2019.02.034","article-title":"Microsimulation of electric vehicle energy consumption","volume":"174","author":"Luin","year":"2019","journal-title":"Energy"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Hayes, J.G., and Davis, K. (2014, January 16\u201319). Simplified electric vehicle powertrain model for range and energy consumption based on EPA Coast-down Parameters and Test Validation by Argonne national lab data on the Nissan leaf. Proceedings of the 2014 IEEE Transportation Electrification Conference and Expo Components, System Power Electron\u2014From Technology to Bussiness Public Policy, ITEC 2014, Dearborn, MI, USA. Available online: https:\/\/ieeexplore.ieee.org\/document\/6861831.","DOI":"10.1109\/ITEC.2014.6861831"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Grube, T., and Stolten, D. (2018). The impact of drive cycles and auxiliary power on passenger car fuel economy. Energies, 11.","DOI":"10.3390\/en11041010"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1177\/0954407011406613","article-title":"The effect of a low ambient temperature on the cold-start emissions and fuel consumption of passenger cars","volume":"225","author":"Bielaczyc","year":"2011","journal-title":"Proc. Inst. Mech. Eng. Part D J. Automob. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.trd.2016.02.009","article-title":"Analysis of fuel consumption and pollutant emissions of regulated and alternative driving cycles based on real-world measurements","volume":"44","author":"Duarte","year":"2016","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_21","unstructured":"(2020, October 15). Energy Statistics\u2014An Overview Statistics Explained. Available online: https:\/\/ec.europa.eu\/eurostat\/statisticsexplained\/."},{"key":"ref_22","unstructured":"Teter, J., Le Feuvre, P., Bains, P., and Re, L. (2021, February 14). IEA. Aviation, IEA, Paris. Available online: https:\/\/www.iea.org\/reports\/aviation."},{"key":"ref_23","unstructured":"Burzlaff, M. (2017). Aircraft Fuel Consumption\u2014Estimation and Visualization. Fuel Consum."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.jtrangeo.2014.08.017","article-title":"Fuel burn rates of commercial passenger aircraft: Variations by seat configuration and stage distance","volume":"41","author":"Park","year":"2014","journal-title":"J. Transp. Geogr."},{"key":"ref_25","unstructured":"Peeters, P., Middel, J., and Hoolhorts, A. (2005). Fuel Efficiency of Commercial Aircraft: An Overview of Historical and Future Trends, National Aerospace Laboratory NLR. Available online: https:\/\/www.transportenvironment.org\/sites\/te\/files\/media\/2005-12_nlr_aviation_fuel_efficiency.pdf."},{"key":"ref_26","unstructured":"Kharina, A., and Rutherford, D. (2015). Fuel Efficiency Trends for New Commercial Jet Aircraft: 1960 to 2014, The International Council on Clean Transportation. Available online: https:\/\/theicct.org\/wp-content\/uploads\/2021\/06\/ICCT_Aircraft-FE-Trends_20150902.pdf."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Xu, J. (2017). Design Perspectives on Delivery Drones, RAND Corporation.","DOI":"10.7249\/RR1718.2"},{"key":"ref_28","unstructured":"(2020, September 28). Electric VTOL Aircraft for Urban Air Mobility: Bauhaus Luftfahrt. Available online: https:\/\/www.bauhaus-luftfahrt.net\/en\/research\/systems-aircraft-technologies\/electric-vtol-aircraft-for-urban-air-mobility\/."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1024","DOI":"10.1016\/j.jclepro.2019.01.023","article-title":"Energy consumption optimization of train operation for railway systems: Algorithm development and real-world case study","volume":"214","author":"Zhang","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1539","DOI":"10.1177\/0954409717737226","article-title":"Modelling energy consumption in diesel multiple units","volume":"232","author":"Salvador","year":"2018","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.apenergy.2017.02.058","article-title":"Electric train energy consumption modeling","volume":"193","author":"Wang","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"19","DOI":"10.20967\/jcscm.2018.02.002","article-title":"Prediction of Ship Fuel Consumption and Speed Curve by Using Statistical Method","volume":"8","author":"Kee","year":"2018","journal-title":"J. Comput. Sci. Comput. Math."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"5785","DOI":"10.1007\/s12206-018-1126-4","article-title":"Prediction of ship fuel consumption by using an artificial neural network","volume":"32","author":"Jeon","year":"2018","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_34","first-page":"13","article-title":"A genetic algorithm-based grey-box model for ship fuel consumption prediction towards sustainable shipping","volume":"813","author":"Yang","year":"2019","journal-title":"Ann. Oper. Res."},{"key":"ref_35","unstructured":"(2020, July 09). Germany\u2014Countries & Regions\u2014IEA. Available online: https:\/\/www.iea.org\/countries\/germany."},{"key":"ref_36","unstructured":"Guzzella, L., and Sciarretta, A. (2007). Vehicle Propulsion Systems, Springer. [2nd ed.]."},{"key":"ref_37","unstructured":"Grube, T. (2014). Potentiale des Strommanagements zur Reduzierung des Spezifischen Energiebedarfs von Pkw, Technische Universit\u00e4t."},{"key":"ref_38","unstructured":"National Research Council of the National Academies (2022, January 18). Transitions to Alternative Vehicles and Fuels, Available online: https:\/\/www.nap.edu\/catalog\/18264\/transitions-to-alternative-vehicles-and-fuels."},{"key":"ref_39","unstructured":"Ling, F.F. (2006). Vehicle Dynamics and Control, Springer. [1st ed.]."},{"key":"ref_40","unstructured":"(2020, September 16). Forward and Backward Euler Methods. Available online: https:\/\/web.mit.edu\/10.001\/Web\/Course_Notes\/Differential_Equations_Notes\/node3.html."},{"key":"ref_41","unstructured":"Barlow, T.J., Latham, S., Mccrae, I.S., and Boulter, P.G. (2009). A Reference Book of Driving Cycles for Use in the Measurement of Road Vehicle Emissions, Available online: https:\/\/trid.trb.org\/view\/909274."},{"key":"ref_42","unstructured":"(2020, July 10). Emission Test Cycles: WLTC. Available online: https:\/\/dieselnet.com\/standards\/cycles\/wltp.php."},{"key":"ref_43","unstructured":"Office for Official Publications of the European Communities L-2985 Luxembourg (1999). Regulation (EEC) No 4064\/89 Merger Procedure Article 6(1)(b), Office for Official Publications of the European Communities L-2985 Luxembourg."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Islam, E.S., Moawad, A., Kim, N., and Rousseau, A. (2022, January 18). Energy Consumption and Cost Reduction of Future Light-Duty Vehicles through Advanced Vehicle Technologies: A Modeling Simulation Study Through 2050, Available online: https:\/\/publications.anl.gov\/anlpubs\/2020\/08\/161542.pdf.","DOI":"10.2172\/1647165"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1016\/j.aej.2017.04.010","article-title":"Study of emissions and fuel economy for parallel hybrid versus conventional vehicles on real world and standard driving cycles","volume":"56","year":"2017","journal-title":"Alex. Eng. J."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Spanoudakis, P., Tsourveloudis, N., Doitsidis, L., and Karapidakis, E. (2019). Experimental Research of Transmissions on Electric Vehicles\u2019 Energy Consumption. Energies, 12.","DOI":"10.3390\/en12030388"},{"key":"ref_47","unstructured":"(2020, September 17). Drivetrain Losses (Efficiency)\u2014x-engineer.org. Available online: https:\/\/x-engineer.org\/automotive-engineering\/drivetrain\/transmissions\/drivetrain-losses-efficiency\/."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Li, K., and Tseng, K.J. (2015, January 9\u201312). Energy efficiency of lithium-ion battery used as energy storage devices in micro-grid. Proceedings of the IECON 2015\u201441st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, Japan.","DOI":"10.1109\/IECON.2015.7392923"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.apenergy.2017.10.129","article-title":"Energy efficiency evaluation of a stationary lithium-ion battery container storage system via electro-thermal modeling and detailed component analysis","volume":"210","author":"Schimpe","year":"2018","journal-title":"Appl. Energy"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2053","DOI":"10.1039\/C7SE00350A","article-title":"Energy efficiency: A critically important but neglected factor in battery research","volume":"1","author":"Eftekhari","year":"2017","journal-title":"Sustain. Energy Fuels"},{"key":"ref_51","unstructured":"Trost, T. (2017). Erneuerbare Mobilit\u00e4t im Motorisierten Individualverkehr, Fraunhofer Verlag."},{"key":"ref_52","unstructured":"(2020, October 15). Occupancy Rates\u2014European Environment Agency. Available online: https:\/\/www.eea.europa.eu\/publications\/ENVISSUENo12\/page029.html."},{"key":"ref_53","unstructured":"(2020, September 17). Air\u2014Density, Specific Weight and Thermal Expansion Coefficient at Varying Temperature and Constant Pressures. Available online: https:\/\/www.engineeringtoolbox.com\/air-density-specific-weight-d_600.html?vA=15&units=C#."},{"key":"ref_54","unstructured":"Berdowski, Z., Broek-Serl\u00e9, F.N., Jetten, J.T., Kawabatta, Y., Schoemaker, J.T., and Versteegh, R. (2022, January 18). Survey on Standard Weights of Passengers and Baggage Final Report. Available online: https:\/\/www.easa.europa.eu\/system\/files\/dfu\/WeightSurveyR20090095Final.pdf."},{"key":"ref_55","unstructured":"Cox, B. (2018). Mobility and the Energy Transition: A Life Cycle Assessment of Swiss Passenger Transport Technologies Including Developments Until 2050. [Ph.D. Thesis, ETH Zurich]."},{"key":"ref_56","unstructured":"Knote, T., Haufe, B., and Saroch, L. (2017). Gef\u00f6rdert durch das Bundesministerium f\u00fcr Umwelt, Naturschutz, Bau und Reaktorsicherheit E-Bus-Standard \u00abAns\u00e4tze zur Standardisierung und Zielkosten f\u00fcr Elektrobusse\u00bb, Fraunhofer IVI."},{"key":"ref_57","unstructured":"(2021, May 12). VW.com|Official Home of Volkswagen Cars & SUVs. Available online: https:\/\/www.vw.com\/en.html."},{"key":"ref_58","unstructured":"(2021, May 12). Electric Cars, Solar & Clean Energy|Tesla. Available online: https:\/\/www.tesla.com\/."},{"key":"ref_59","unstructured":"H\u00fclsmann, F., Mottschall, M., Hacker, F., and Kasten, P. (2014). Konventionelle und Alternative Fahrzeugtechnologien bei Pkw und Schweren Nutzfahrzeugen\u2014Potenziale zur Minderung des Energieverbrauchs bis 2050, \u00d6ko-Institut. Available online: https:\/\/www.oeko.de\/oekodoc\/2105\/2014-662-de.pdf."},{"key":"ref_60","unstructured":"D\u00fcnnebeil, F., and Keller, H. (2015). Monitoring Emission Savings from Low Rolling Resistance Tire Labelling and Phase-Out Schemes, Institut f\u00fcr Energie- und Umweltforschung Heidelberg. Available online: http:\/\/transferproject.org\/wp-content\/uploads\/2014\/10\/TRANSfer_MRV-Blueprint_lower-tires_EU.pdf."},{"key":"ref_61","unstructured":"Wietschel, M., Moll, C., Oberle, S., Lux, B., Sebastian, T., Neuling, U., Kaltschmitt, M., and Ashley-Belbin, N. (2019). Klimabilanz, Kosten und Potenziale Verschiedener Kraftstoffarten und Antriebssysteme f\u00fcr Pkw und Lkw, Fraunhofer ISI. Available online: https:\/\/www.isi.fraunhofer.de\/content\/dam\/isi\/dokumente\/cce\/2019\/klimabilanz-kosten-potenziale-antriebe-pkw-lkw.pdf."},{"key":"ref_62","unstructured":"Vijayagopal, R., Prada, D.N., and Rousseau, A. (2022, January 18). Fuel Economy and Cost Estimates for Medium- and Heavy-Duty Trucks, Available online: https:\/\/publications.anl.gov\/anlpubs\/2021\/02\/165815.pdf."},{"key":"ref_63","unstructured":"(2020, September 13). Study on Air Traffic: Lufthansa Dominates the Skies over Germany. Available online: https:\/\/ga.de\/ga-english\/news\/lufthansa-dominates-the-skies-over-germany_aid-43675911."},{"key":"ref_64","unstructured":"(2020, September 13). Germany: State of the Market|Routesonline. Available online: https:\/\/www.routesonline.com\/news\/29\/breaking-news\/283754\/germany-state-of-the-market-\/."},{"key":"ref_65","unstructured":"(2020, September 13). 1.A.3.a Aviation 2 LTO Emissions Calculator 2019\u2014European Environment Agency. Available online: https:\/\/www.eea.europa.eu\/publications\/emep-eea-guidebook-2019\/part-b-sectoral-guidance-chapters\/1-energy\/1-a-combustion\/1-a-3-a-aviation-1-annex5-LTO\/view."},{"key":"ref_66","unstructured":"(2020, September 10). Energiewende Outlook: Transportation Sector. Available online: www.pwc.de\/energy-transition."},{"key":"ref_67","first-page":"93","article-title":"Energy consumption in tram transport","volume":"18","author":"Kuminek","year":"2013","journal-title":"Logist. Transp."},{"key":"ref_68","unstructured":"(2020, September 13). GEMIS Database\u2014IINAS. Available online: http:\/\/iinas.org\/database.html."},{"key":"ref_69","unstructured":"(2019). Deutsche Bahn 2018 Integrated Report On Track towards a Better Railway, Deutsche Bahn. Available online: https:\/\/ibir.deutschebahn.com\/ib2018\/fileadmin\/PDF\/IB18_e_web.pdf."},{"key":"ref_70","unstructured":"Br\u00fcndlinger, T., K\u00f6nig, J.E., Frank, O., Gr\u00fcndig, O., Jugel, C., Kraft, P., Krieger, O., Mischinger, S., Prein, P., and Seidl, H. (2022, January 18). Dena-Leitstudie Integrierte Energiewende. Impulse f\u00fcr die Gestaltung des Energiesystems bis 2050. Deutche Energie-Agentur 2018. Available online: https:\/\/www.dena.de\/fileadmin\/dena\/Dokumente\/Pdf\/9261_dena-Leitstudie_Integrierte_Energiewende_lang.pdf."},{"key":"ref_71","unstructured":"(2020, October 15). International Shipping\u2014Analysis\u2014IEA. Available online: https:\/\/www.iea.org\/reports\/international-shipping."},{"key":"ref_72","unstructured":"Allekotte, M., Bergk, F., Biemann, K., Deregowski, C., Kn\u00f6rr Ifeu, W., Hans-J\u00f6rg-Althaus, H., Sutter Infras, D., and Thomas Bergmann, Z. (2020, September 13). \u00d6kologische Bewertung von Verkehrsarten. Available online: http:\/\/www.umweltbundesamt.de\/publikationen."},{"key":"ref_73","unstructured":"(2020, October 02). Facts & Figures. Available online: https:\/\/www.atag.org\/facts-figures.html."},{"key":"ref_74","unstructured":"Zimmer, W., Von Waldenfels, R., Cyganski, R., Wolfermann, A., Winkler, C., Heinrichs, M., D\u00fcnnebeil, F., Fehrenbach, H., K\u00e4mper, C., and Biemann, K. (2016). Endbericht Renewbility III, \u00d6ko-Institut. Available online: https:\/\/elib.dlr.de\/109486\/1\/__bafiler1_VF-BA_VF_Server_neu_Projekte_PJ_laufend_RNB3_2-Ergebnisse_21-Berichte_Renewbility-III_Endbericht.pdf."},{"key":"ref_75","unstructured":"(2020, September 16). Emission Test Cycles: World Harmonized Vehicle Cycle (WHVC). Available online: https:\/\/dieselnet.com\/standards\/cycles\/whvc.php."},{"key":"ref_76","unstructured":"(2020, September 26). Emission Test Cycles: Neighborhood Refuse Truck Cycle. Available online: https:\/\/dieselnet.com\/standards\/cycles\/neigh_refuse_truck.php."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.1007\/s11116-018-9937-9","article-title":"Projecting travelers into a world of self-driving vehicles: Estimating travel behavior implications via a naturalistic experiment","volume":"45","author":"Harb","year":"2018","journal-title":"Transportation"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.ijtst.2017.05.005","article-title":"Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal","volume":"6","author":"Martinez","year":"2017","journal-title":"Int. J. Transp. Sci. Technol."},{"key":"ref_79","unstructured":"Raposo, A., Grosso, M., Mac\u00edas, F., Galassi, E., Krasenbrink, C., Krause, A., Levati, J., Saveyn, A., Thiel, B., and Ciuffo, C. (2018). An Analysis of Possible Socio-Economic Effects of a Cooperative, Connected and Automated Mobility (CCAM) in Europe, Available online: https:\/\/publications.jrc.ec.europa.eu\/repository\/handle\/JRC111477."}],"container-title":["Energies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1996-1073\/15\/6\/2232\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:38:59Z","timestamp":1760135939000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1996-1073\/15\/6\/2232"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,18]]},"references-count":79,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["en15062232"],"URL":"https:\/\/doi.org\/10.3390\/en15062232","relation":{},"ISSN":["1996-1073"],"issn-type":[{"value":"1996-1073","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,18]]}}}