Open Access
Issue |
E3S Web Conf.
Volume 264, 2021
International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
|
|
---|---|---|
Article Number | 01033 | |
Number of page(s) | 12 | |
Section | Ecology, Hydropower Engineering and Modeling of Physical Processes | |
DOI | https://doi.org/10.1051/e3sconf/202126401033 | |
Published online | 02 June 2021 |
- Kropiwnicki, J., Kneba, Z. & Ziölkowski, 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]
- Kutani Ichiro. Addressing Energy Efficiency in the Transport Sector Through Traffic Improvement. ERIA Research Project Report 2016, 04. https://think-asia.org/bitstream/handle/11540/7439/RPR_FY2016_04.pdf?sequence=1. (2016). [Google Scholar]
- Козлов, А.В. Современные требования к уровню энергетической эффективности транспортных средств, А.В. Козлов, А.С. Теренченко // Журнал автомобильных инженеров. 2014. 1 (84). https://elibrary.ru/item.asp?id=21992560. (2014). [Google Scholar]
- Regulation (EC) N° 443/2009 of the European Parliament and of the Council Setting Emission Performance Standards for New Passenger Cars as Part of the Community’s Integrated Approach to Reduce C02 Emissions from Light-Duty Vehicles. - 23 April 2009. p 15. [Google Scholar]
- An, F., Gordon, D., He, H., Kodjak, D. and Rutherford, D. (July 2007). Passenger vehicle greenhouse gas and fuel economy standards: A global update. Washington DC: The International Council on Clean Transportation. (2007). [Google Scholar]
- MSC 2012 MSC.EASY5. Ricardo Powertrain Library. Simulation tools to analyze powertrain system performance. MSC. Software Corporation. http://www.mscsoftware.com/assets/2012_e5303zpwrlzltdat.pdf. (2012). [Google Scholar]
- Kasab, J. and Velliyiur, S. (13 April 2012. Addendum: 17 May 2012). Analysis of greenhouse gas emission reduction potential of light duty vehicle technologies in the European Union for 2020-2025. Washington DC: Project report of Ricardo Inc. on behalf of the International Council on Clean Transportation. (2012). [Google Scholar]
- Kasab, J., Shepard, D. and Velliyiur, S. (25 January 2013). User guide for Data Visualization Tool. Washington DC: Report of Ricardo Inc. on behalf of the International Council on Clean Transportation. (2013). [Google Scholar]
- G. Souffran, L. Miegeville, and P. Guerin, “Simulation of real-world vehicle missions using a stochastic markov model for optimal powertrain sizing,” IEEE Transactions on Vehicular Technology, 61, (8), pp. 3454–3465, (2012). [Google Scholar]
- J.-M. Zaccardi and F. Le Berr, “Analysis and choice of representative drive cycles for light duty vehicles - Case study for electric vehicles,” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 227, (4), pp. 605616, (2013). [Google Scholar]
- Guzzella, L.; Sciarretta, A. Vehicle Propulsion Systems. Introduction to Modeling and Optimization. SpringerVerlag: Berlin, Germany, p 418. (2013). [Google Scholar]
- M. Andre, R. Joumard, R. Vidon, P. Tassel, and P. Perret, “Real-world European driving cycles, for measuring pollutant emissions from highand low-powered cars,” Atmos. Environ., 40 (31), pp. 5944–5953, (2006). [Google Scholar]
- T. Nutramon and C. Supachart, “Influence of driving cycles on exhaust emissions and fuel consumption of gasoline passenger car in Bangkok,” J. Environ. Sci., 21 (5), pp. 604–611, (2009). [Google Scholar]
- G. Amirjamshidi and M. Roorda, “Development of Simulated Driving Cycles: Case study of the Toronto Waterfront Area,” Transp. Res. Board Annu. Meet., 34, (227), pp. 255–266, (2013). [Google Scholar]
- R. Mahayadin et al., “Efficient methodology of route selection for driving cycle development,” in Journal of Physics: Conference Series, (2017). [Google Scholar]
- U. Galgamuwa, L. Perera, and S. Bandara, “Developing a General Methodology for Driving Cycle Construction, Comparison of Va “Using large driving record samples and a stochastic approach for real-world driving cycle construction, rious Established Driving Cycles in the World to Propose a General Approach,” J. Transp. Technol., 5 (5), pp. 191–203, (2015). [Google Scholar]
- R. Mahayadin, I. Ibrahim, I. Zunaid, «Development of Driving Cycle Construction Methodology in Malaysia’s Urban Road System», International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) DOI: 10.1109/ICASSDA.2018.8477619, (2018). [Google Scholar]
- Ashtari, E. Bibeau, and S. Shahidinejad, Winnipeg driving cycle, Transportation Science, 48 (2), pp. 170–183, (2014). [Google Scholar]
- Berzi, L.; Delogu, M.; Pierini, M. Development of driving cycles for electric vehicles in the context of the cityof Florence. Transp. Res. Part. D Transp. Environ., 47, pp. 299–322, (2016). [Google Scholar]
- Li, Y.; He, H.; Peng, J. An adaptive online prediction method with variable prediction horizon for futuredriving cycle of the vehicle. IEEE Access 2018, (6), pp 3306233075. (2018) [Google Scholar]
- Lin, J. A Markov Process Approach to Driving Cycle Development; University of California, Davis: Davis, CA, USA, (2020). [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.