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Citez

1. ACEA (2017) The Automobile Industry Pocket Guide 2016-2017, Brussels, 2017.Search in Google Scholar

2. Boniface, M., Nasser, B., Papay, J. and Kyriazis, D. (2010) Platform-as-a-service architecture for real-time quality of service management in clouds. In: Proceedings of the 5th International Conference on Internet and Web Applications and Services, Barcelona, May 2010. New York: IEEE, pp. 155‐160.10.1109/ICIW.2010.91Search in Google Scholar

3. Davis, S. C., Diegel, S. W. and Boundy, R. G. (2013) Transportation Energy Data Book. Washington: U.S. Department of Energy.10.2172/1110942Search in Google Scholar

4. Dhuldhule, P. A., Lakshmi, J. and Nandy, S. K. (2015) High Performance Computing Cloud -- A Platform-as-a-Service Perspective. In: Proceedings of the International Conference on Cloud Computing and Big Data, Shanghai, November 2015. New York: IEEE, pp. 21‐28.10.1109/CCBD.2015.56Search in Google Scholar

5. Dikaiakos, M., Katsaros, D., Mehra, P., Pallis, G. and Vakali, A. (2009) Cloud computing: Distributed internet computing for IT and scientific research. IEEE Internet Computing, 13(5), 10–13. DOI: 10.1109/MIC.2009.103.10.1109/MIC.2009.103Search in Google Scholar

6. EC (2014) Questions and Answers on the Commission strategy for reducing Heavy-Duty Vehicles’ (HDVs) fuel consumption and CO2 emissions, Memo, Brussels, 21 May 2014.Search in Google Scholar

7. eCoMove European Union Research Project. http://www.ecomove-project.eu/, last accessed 2020/01/23Search in Google Scholar

8. Fanti, M. P., Iacobellis, G., Nolich, M., Rusich, A. and Ukovich, W. (2014) Cooperative Logistics for Sustainable Mobility of Goods. In: Proceedings of the 1st 1st Workshop Proceedings on the State of the art and Challenges of Research Efforts, Bari, December 2014.Search in Google Scholar

9. Foxx, A., Mendez, V., Winfree, G. D., Hu, P. S., Pritzker, P., Andrews, B. H., Doms, M. and Thompson, J. H. (2015) Commodity Flow Survey. United States: Department of Transportation. (EC12TCF-US).Search in Google Scholar

10. Jimenez, P. (2017) Intelligent vehicles: enabling technologies and future developments. Oxford: Butterworth-Heinemann.Search in Google Scholar

11. Kimball, R. and Ross, M. (2013) The data warehouse toolkit. Hoboken: Wiley.Search in Google Scholar

12. Kohut, N. J., Hedrick, J. and Borrelli, F. (2009) Integrating traffic data and model predictive control to improve fuel economy. In: Proceedings of the 12th IFAC Symposium on Transportation Systems, Radondo Beach, September 2009. Amsterdam: Elsevier, pp. 155‐160.10.3182/20090902-3-US-2007.0032Search in Google Scholar

13. Li, W., Wu, G., Yao, D., Zhang, Y. and Barth, M. J. (2018) Dynamic En-Route Eco-Navigation: Strategy Design, Implementation and Evaluation. In: Proceedings of the 21st International IEEE Conference on Intelligent Transportation Systems, Maui, Hawaii, September 2018. New York: IEEE, pp. 1888-1893.10.1109/ITSC.2018.8569444Search in Google Scholar

14. Mahmassani, H. S., Dong, J., Kim, J., Chen, R. B. and Park, B. (2009) Incorporating Weather Impacts in Traffic Estimation and Prediction Systems. United States: Department of Transport. (DTFH61-06-D-00005).Search in Google Scholar

15. optiTruck European Union Research Project. http://optitruck.eu/, last accessed 2020/07/25.Search in Google Scholar

16. REDUCTION European Union Research Project, http://www.reduction-project.eu/, last accessed 2020/07/25.Search in Google Scholar

17. Saltsman, S. (2014) Impacts of Connectivity and Automation on Vehicle Operations. In: Proceedings of the Global Symposium on Connected Vehicle and Infrastructure, Michigan, September 2014. Michigan: University of Michigan, pp. 59‐68.Search in Google Scholar

18. Vehicle Powertrain and Routing Co-Optimization. https://vpro.umn.edu/, last accessed 2020/07/25.Search in Google Scholar

19. Vlassenroot, S., Molin, E., Marchau, V., Brookhuis, K. and Witlox, F. (2011) Public support of intelligent speed assistance: which factors will determine the acceptability? In: Proceedings of the 18th ITS World Congress, Orlando, September 2011. Orlando: ITS America, pp. 1-13.Search in Google Scholar

20. Work, D. B., Tossavainen, O. P., Blandin, S., Bayen, A. M., Iwuchukwu, T. and Tracton, K. (2008) An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices. In: Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, July 2008, New York: IEEE, pp. 5062–5068.10.1109/CDC.2008.4739016Search in Google Scholar

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