Comparison of Three Methods for Constructing Real Driving Cycles
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ntziachristos, L. & Mellios, G. & Tsokolis, D. & Keller, M. & Hausberger, S. & Ligterink, N.E. & Dilara, P., 2014. "In-use vs. type-approval fuel consumption of current passenger cars in Europe," Energy Policy, Elsevier, vol. 67(C), pages 403-411.
- Tietge, Uwe & Mock, Peter & Franco, Vicente & Zacharof, Nikiforos, 2017. "From laboratory to road: Modeling the divergence between official and real-world fuel consumption and CO2 emission values in the German passenger car market for the years 2001–2014," Energy Policy, Elsevier, vol. 103(C), pages 212-222.
- José I. Huertas & Michael Giraldo & Luis F. Quirama & Jenny Díaz, 2018. "Driving Cycles Based on Fuel Consumption," Energies, MDPI, vol. 11(11), pages 1-13, November.
- Brady, John & O’Mahony, Margaret, 2016. "Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas," Applied Energy, Elsevier, vol. 177(C), pages 165-178.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Li Zhao & Kun Li & Wu Zhao & Han-Chen Ke & Zhen Wang, 2022. "A Sticky Sampling and Markov State Transition Matrix Based Driving Cycle Construction Method for EV," Energies, MDPI, vol. 15(3), pages 1-19, January.
- Guilherme Medeiros Soares de Andrade & Fernando Wesley Cavalcanti de Araújo & Maurício Pereira Magalhães de Novaes Santos & Fabio Santana Magnani, 2020. "Standardized Comparison of 40 Local Driving Cycles: Energy and Kinematics," Energies, MDPI, vol. 13(20), pages 1-20, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yu, Rujie & Ren, Huanhuan & Liu, Yong & Yu, Biying, 2021. "Gap between on-road and official fuel efficiency of passenger vehicles in China," Energy Policy, Elsevier, vol. 152(C).
- José I. Huertas & Michael Giraldo & Luis F. Quirama & Jenny Díaz, 2018. "Driving Cycles Based on Fuel Consumption," Energies, MDPI, vol. 11(11), pages 1-13, November.
- Zvonimir Dabčević & Branimir Škugor & Jakov Topić & Joško Deur, 2022. "Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology," Energies, MDPI, vol. 15(11), pages 1-21, June.
- Craglia, Matteo & Cullen, Jonathan, 2019. "Do technical improvements lead to real efficiency gains? Disaggregating changes in transport energy intensity," Energy Policy, Elsevier, vol. 134(C).
- Aderiana Mutheu Mbandi & Jan R. Böhnke & Dietrich Schwela & Harry Vallack & Mike R. Ashmore & Lisa Emberson, 2019. "Estimating On-Road Vehicle Fuel Economy in Africa: A Case Study Based on an Urban Transport Survey in Nairobi, Kenya," Energies, MDPI, vol. 12(6), pages 1-28, March.
- Mogno, Caterina & Fontaras, Georgios & Arcidiacono, Vincenzo & Komnos, Dimitrios & Pavlovic, Jelica & Ciuffo, Biagio & Makridis, Michail & Valverde, Victor, 2022. "The application of the CO2MPAS model for vehicle CO2 emissions estimation over real traffic conditions," Transport Policy, Elsevier, vol. 124(C), pages 152-159.
- Tsiakmakis, Stefanos & Fontaras, Georgios & Dornoff, Jan & Valverde, Victor & Komnos, Dimitrios & Ciuffo, Biagio & Mock, Peter & Samaras, Zissis, 2019. "From lab-to-road & vice-versa: Using a simulation-based approach for predicting real-world CO2 emissions," Energy, Elsevier, vol. 169(C), pages 1153-1165.
- Fan, Pengfei & Yin, Hang & Lu, Hongyu & Wu, Yizheng & Zhai, Zhiqiang & Yu, Lei & Song, Guohua, 2023. "Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis," Energy Policy, Elsevier, vol. 182(C).
- Triantafyllopoulos, Georgios & Kontses, Anastasios & Tsokolis, Dimitrios & Ntziachristos, Leonidas & Samaras, Zissis, 2017. "Potential of energy efficiency technologies in reducing vehicle consumption under type approval and real world conditions," Energy, Elsevier, vol. 140(P1), pages 365-373.
- Küng, Lukas & Bütler, Thomas & Georges, Gil & Boulouchos, Konstantinos, 2019. "How much energy does a car need on the road?," Applied Energy, Elsevier, vol. 256(C).
- Bishop, Justin D.K. & Molden, N. & Boies, Adam M, 2019. "Using portable emissions measurement systems (PEMS) to derive more accurate estimates of fuel use and nitrogen oxides emissions from modern Euro 6 passenger cars under real-world driving conditions," Applied Energy, Elsevier, vol. 242(C), pages 942-973.
- Zhang, Shaojun & Wu, Ye & Un, Puikei & Fu, Lixin & Hao, Jiming, 2016. "Modeling real-world fuel consumption and carbon dioxide emissions with high resolution for light-duty passenger vehicles in a traffic populated city," Energy, Elsevier, vol. 113(C), pages 461-471.
- Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
- Nicu Bizon & Mircea Raceanu & Emmanouel Koudoumas & Adriana Marinoiu & Emmanuel Karapidakis & Elena Carcadea, 2020. "Renewable/Fuel Cell Hybrid Power System Operation Using Two Search Controllers of the Optimal Power Needed on the DC Bus," Energies, MDPI, vol. 13(22), pages 1-26, November.
- Hediger, Cécile, 2023. "The more kilometers, the merrier? The rebound effect and its welfare implications in private mobility," Energy Policy, Elsevier, vol. 180(C).
- Ye, Rui-Ke & Gao, Zhuang-Fei & Fang, Kai & Liu, Kang-Li & Chen, Jia-Wei, 2021. "Moving from subsidy stimulation to endogenous development: A system dynamics analysis of China's NEVs in the post-subsidy era," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
- Emilia M. Szumska & Rafał S. Jurecki, 2021. "Parameters Influencing on Electric Vehicle Range," Energies, MDPI, vol. 14(16), pages 1-23, August.
- Crossin, Enda & Doherty, Peter J.B., 2016. "The effect of charging time on the comparative environmental performance of different vehicle types," Applied Energy, Elsevier, vol. 179(C), pages 716-726.
- Liu, Kai & Wang, Jiangbo & Yamamoto, Toshiyuki & Morikawa, Takayuki, 2016. "Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles," Applied Energy, Elsevier, vol. 183(C), pages 1351-1360.
- Zacharof, Nikiforos & Tietge, Uwe & Franco, Vicente & Mock, Peter, 2016. "Type approval and real-world CO2 and NOx emissions from EU light commercial vehicles," Energy Policy, Elsevier, vol. 97(C), pages 540-548.
More about this item
Keywords
fuel-based method; Micro-trips method; Markov Chains and Monte Carlo method; driving patterns; fuel consumption; vehicle emissions;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:665-:d:207136. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.