Open Access
Issue |
E3S Web Conf.
Volume 264, 2021
International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
|
|
---|---|---|
Article Number | 05033 | |
Number of page(s) | 9 | |
Section | Engineering Materials Science, Intelligent Transport Systems and Transport Logistics | |
DOI | https://doi.org/10.1051/e3sconf/202126405033 | |
Published online | 02 June 2021 |
- Amir Izadi, Mohammad Nabipour & Omid Titidezh, Cost Models and Cost Factors of Road Freight Transportation: A Literature Review and Model Structure, Fuzzy Information and Engineering, DOI: 10.1080/16168658.2019.1688956. (2020). [Google Scholar]
- Bishop, J.D.K., Martin, N.P.D. and Boies, A.M. Quantifying the role of vehicle size, powertrain technology, activity and consumer behaviour on new uk passenger vehicle fleet energy use and emissions under different policy objectives. Applied Energy, 180, pp 196–212. (2016). [Google Scholar]
- Carlan V., Sys C., Vanelslander T. Innovation in road freight transport: quantifying the environmental performance of operational cost-reducing practices. Sustainability, 11 (8). 2212. (2019). [Google Scholar]
- Duan L., Tavasszy L.A., Rezaei J. Freight service network design with heterogeneous preferences for transport time and reliability. Transp Res E Logist Transp Rev. (124), pp 1–12.(2019). [Google Scholar]
- Gao, Y. and Checkel, M.D. Experimental measurement of on-road CO2 emission and fuel consumption functions. SAE Paper No. 2007-01-1610. (2007). [Google Scholar]
- Guzzella, L.; Sciarretta, A. Vehicle Propulsion Systems. Introduction to Modeling and Optimization, Springer Verlag: Berlin, Germany, p 418. (2013). [Google Scholar]
- Hong, M., Ouyang, M. and Shen, T. Torque-based optimal vehicle speed control. Int. J. Automotive Technology 12,(1), pp 45–49. (2011). [Google Scholar]
- IEA, Policy Pathways: Improving the Fuel Economy of Road Vehicles–A Policy Package. International Energy Agency. (2012). [Google Scholar]
- Kim, D.W., Yoon, J.W., Park, S. et al. Fuel consumption parameters for realizing and verifying fuel consumption prospect algorithm of vehicle driving route information system. Int.J Automot. Technol. (14), pp 955–964, https://doi.org/10.1007/s12239-013-0105-0. (2013). [Google Scholar]
- Kropiwnicki, J., Kneba, Z. & Ziółkowski, M. Test for assessing the energy efficiency of vehicles with internal combustion engines. Int.J Automot. Technol. (14), pp 479–487 https://doi.org/10.1007/s12239-013-0052-9. (2013). [Google Scholar]
- Kropiwnicki, J. Identification of real vehicle operating conditions. FISITA 2010, World Automotive Cong., Budapest, F2010-G-004. (2010). [Google Scholar]
- Liang, Z., Chen, L., Alam, M.S., Rezaei, S.Z., Stark, C., Xu, H. and Harrison, R.M. Comprehensive chemical characterization of lubricating oils used in modern vehicular engines utilizing GCxGC-TOFMS. Fuel, (220), pp 792–799. (2018). [Google Scholar]
- Leung, D., Williams, D. Modelling of Motor Vehicle Fuel Consumption and Emissions Using a Power-Based Model. Environ Monit Assess (65), pp 21–29. https://doi.org/10.1023/A:1006498328936. (2000). [Google Scholar]
- Mansour, C., Clodic, D. Optimized energy management control for the Toyota Hybrid System using dynamic programming on a predicted route with short computation time. Int.J Automot. Technol. (13), pp 309–324 https://doi.org/10.1007/s12239-012-0029-0. (2012). [Google Scholar]
- Ping, Y., Long, W., Feng, L., Chen, L., Cui, J. and Gong, W. Investigation of evaporation and autoignition of isolated lubricating oil droplets in natural gas engine in-cylinder conditions. Fuel (235), pp 1172–1183. (2019). [Google Scholar]
- Saboohi, Y. and Farzaneh, H. Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption. Applied Energy, (86), pp 1925–1938. (2009). [Google Scholar]
- Sergio Camisón-Haba & Jose A. Clemente-Almendros A global model for the estimation of transport costs, Economic Research-Ekonomska Istraživanja, 33 (1), p. 2075–2100, DOI: 10.1080/1331677X.2019.1584044. (2020) [Google Scholar]
- Vanyeyev, S.M., Miroshnichenko, D.V., Rodymchenko, T.S., Protsenko, M., Smolenko, D.V. Data measuring system for torque measurement on running shafts based on a non-contact torsional dynamometer. Journal of Engineering Sciences, Vol. 6 (2), pp. 15–23, doi: 10.21272/jes.2019.6(2).e3. (2019). [Google Scholar]
- 2013 Mercedes E350 BlueTEC Vehicle Diesel Fuel – Test Data Package. Version 2018-09. Ann Arbor, MI: US EPA, National Vehicle and Fuel Emissions Laboratory, National Center for Advanced Technology, (2018). [Google Scholar]
- 2013 Ford 1.6L EcoBoost Engine Tier 2 Fuel - Test Data Package. Version 2018-10. Ann Arbor, MI: US EPA, National Vehicle and Fuel Emissions Laboratory, National Center for Advanced Technology, (2018). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.