Evaluating the effectiveness of eco-driving courses based on car-GPS tracking data in the itinerary tracking device to reduce fuel consumption of vehicles in urban areas

Van Manh Do; Thi Lan Huong Ho; Tuan Hai Dinh

doi:10.1051/e3sconf/202131003004

All issues

Volume 310 (2021)

E3S Web Conf., 310 (2021) 03004

References

Open Access

Issue		E3S Web Conf. Volume 310, 2021 Annual International Scientific Conference “Spatial Data: Science, Research and Technology 2021”


Article Number		03004
Number of page(s)		8
Section		Geodesy. Navigation. GLONASS - GNSS
DOI		https://doi.org/10.1051/e3sconf/202131003004
Published online		15 October 2021

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[1] Murphey, Y.L., R. Milton, and L. Kiliaris. Driver’s style classification using jerk analysis. in 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems (2009) [Google Scholar]

[2] Ferreira, J.C., J.d. Almeida, and A.R.D. Silva, The Impact of Driving Styles on Fuel Consumption: A Data-Warehouse-and-Data-Mining-Based Discovery Process. IEEE Transactions on Intelligent Transportation Systems, 16(5): p. 2653-2662 (2015) [Google Scholar]

[3] Zheng, F., et al., Influence of driver characteristics on emissions and fuel consumption. Transportation Research Procedia, 27: p. 624-63 (2017) [Google Scholar]

[4] Feng, Y., et al. Driving Style Analysis by Classifying Real-World Data with Support Vector Clustering, in 2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE) (2018) [Google Scholar]

[5] Zhao, Y., T. Yamamoto, and T. Morikawa, An analysis on older driver’s driving behavior by GPS tracking data: Road selection, left/right turn, and driving speed. Journal of traffic and transportation engineering (English edition), 5(1): p. 56-65 (2018) [Google Scholar]

[6] Ceikute, V. and C.S. Jensen. Routing service quality local driver behavior versus routing services, in 2013 IEEE 14th International Conference on Mobile Data Management. IEEE (2013) [Google Scholar]

[7] Berry, I.M., The effects of driving style and vehicle performance on the real-world fuel consumption of US light-duty vehicles, Massachusetts Institute of Technology (2010) [Google Scholar]

[8] Beusen, B., et al., Using on-board logging devices to study the longer-term impact of an eco-driving course. Transportation research part D: transport and environment, 14(7): p. 514-520 (2009) [Google Scholar]

[9] Website: http://www.alhadeedtechnologies.com/howitworks.html. [Google Scholar]

[10] (Vietnam), M.o.T., National technical regulation on vehicle tracking equipment, Ministry of Transport of Vietnam, Vietnam (2014) [Google Scholar]

[11] (Vietnam), M.o.T., Regulation on provision, management and use of data from vehicle tracking device. September, Ministry of Transport of Vietnam, Vietnam (2015) [Google Scholar]

[12] Ding, X., et al., An improved Thevenin model of lithium-ion battery with high accuracy for electric vehicles. Applied Energy, 254: p. 113615 (2015) [Google Scholar]

[13] Maia, R., et al. Electric vehicle simulator for energy consumption studies in electric mobility systems. in 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, IEEE (2011) [Google Scholar]

[14] Peterson, S.B., J. Apt, and J. Whitacre, Lithium-ion battery cell degradation resulting from realistic vehicle and vehicle-to-grid utilization. Journal of Power Sources, 195(8): p. 2385-2392 (2010) [Google Scholar]

[15] Manual, H.C., Highway capacity manual. Washington, DC, 2 (2000) [Google Scholar]

[16] Barth, M., et al., The development of a comprehensive modal emissions model, ‖ NCHRP Web-Only Document 122. Contractor’s final report for NCHRP Project, 2000: p. 25-11 (2000) [Google Scholar]

[17] Jimenez-Palacios, J.L., Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote sensing. Massachusetts Institute of Technology, 1998. [Google Scholar]

[18] Scora, G. and M. Barth, Comprehensive modal emissions model (cmem), version 3.01. User guide. Centre for environmental research and technology. University of California, Riverside, 1070 (2006) [Google Scholar]

[19] Song, G., L. Yu, and Z. Geng, Optimization of Wiedemann and Fritzsche car-following models for emission estimation. Transportation Research Part D: Transport and Environment, 34: p. 318-329 (2015) [Google Scholar]