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Mathematical Problems in Engineering
Volume 2015, Article ID 543429, 8 pages
http://dx.doi.org/10.1155/2015/543429
Research Article

Ecodriving for Reduction of Bus Transit Emission with Vehicle’s Hybrid Dynamic Model

1School of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
2Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing 100124, China

Received 6 September 2015; Revised 12 October 2015; Accepted 15 October 2015

Academic Editor: Weiguo Xia

Copyright © 2015 Xiuzheng Zheng and Liguo Zhang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Nagurney, “Congested urban transportation networks and emission paradoxes,” Transportation Research Part D: Transport and Environment, vol. 5, no. 2, pp. 145–151, 2000. View at Publisher · View at Google Scholar · View at Scopus
  2. M. A. S. Kamal, M. Mukai, J. Murata, and T. Kawabe, “Ecological vehicle control on roads with up-down slopes,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 3, pp. 783–794, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. M. Ferreira and P. M. D'Orey, “On the impact of virtual traffic lights on carbon emissions mitigation,” IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 1, pp. 284–295, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. C. Li and S. Shimamoto, “Dynamic traffic light control scheme for reducing CO2 emissions employing ETC technology,” International Journal of Managing Public Sector Information and Communication Technologies, vol. 2, no. 1, pp. 1–12, 2011. View at Google Scholar
  5. A. Stevanovic, J. Stevanovic, K. Zhang, and S. Batterman, “Optimizing traffic control to reduce fuel consumption and vehicular emissions,” Transportation Research Record, no. 2128, pp. 105–113, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. S. K. Zegeye, B. De Schutter, J. Hellendoorn, E. A. Breunesse, and A. Hegyi, “Integrated macroscopic traffic flow, emission, and fuel consumption model for control purposes,” Transportation Research Part C: Emerging Technologies, vol. 31, pp. 158–171, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Zegeye, B. De Schutter, H. Hellendoorn, and E. Breunesse, “Modelbased traffic control for balanced reduction of fuel consumption, emissions, and travel time,” in Proceedings of the 12th IFAC Symposium on Transportation Systems, pp. 149–154, Redondo Beach, Calif, USA, September 2009.
  8. M. Ferreira, R. Fernandes, H. Conceição, W. Viriyasitavat, and O. K. Tonguz, “Self-organized traffic control,” in Proceedings of the 7th ACM International Workshop on VehiculAr InterNETworking (VANET '10), pp. 85–89, Chicago, Ill, USA, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. A. J. ven der Schaft and H. Schumacher, An Introduction to Hybrid Dynamical Systems, vol. 251 of Lecture Notes in Control and Information Sciences, Springer, London, UK, 2000. View at Publisher · View at Google Scholar
  10. T. I. Seidman, “Optimal control for switching systems,” in Proceedings of the 21st Annual Conference on Information Sciences and Systems (CISS '78), pp. 485–489, Baltimore, Md, USA, 1978.
  11. J. Yong, “Systems governed by ordinary differential equations with continuous, switching and impulse controls,” Applied Mathematics and Optimization, vol. 20, no. 3, pp. 223–235, 1989. View at Publisher · View at Google Scholar · View at Scopus
  12. S. Wei, K. Uthaichana, M. Žefran, and R. DeCarlo, “Hybrid model predictive control for the stabilization of wheeled mobile robots subject to wheel slippage,” IEEE Transactions on Control Systems Technology, vol. 21, no. 6, pp. 2181–2193, 2013. View at Publisher · View at Google Scholar
  13. K. Uthaichana, S. Bengea, R. DeCarlo, S. Pekarek, and M. Zefran, “Hybrid model predictive control tracking of a sawtooth driving profile for an HEV,” in Proceedings of the American Control Conference (ACC '08), pp. 967–974, IEEE, Seattle, Wash, USA, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Katsaros, R. Kernchen, M. Dianati, and D. Rieck, “Performance study of a Green Light Optimized Speed Advisory (GLOSA) application using an integrated cooperative ITS simulation platform,” in Proceedings of the 7th International Wireless Communications and Mobile Computing Conference (IWCMC '11), pp. 918–923, Istanbul, Turkey, July 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. G. De Nunzio, C. Canudas de Wit, P. Moulin, and D. Di Domenico, “Eco-driving in urban traffic networks using traffic signal information,” in Proceedings of the 52nd IEEE Conference on Decision and Control (CDC '13), pp. 892–898, Firenze, Italy, December 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. H. Rakha and R. K. Kamalanathsharma, “Eco-driving at signalized intersections using V2I communication,” in Proceedings of the 14th IEEE International Intelligent Transportation Systems Conference (ITSC '11), pp. 341–346, IEEE, Washington, DC, USA, October 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. B. Asadi and A. Vahidi, “Predictive cruise control: utilizing upcoming traffic signal information for improving fuel economy and reducing trip time,” IEEE Transactions on Control Systems Technology, vol. 19, no. 3, pp. 707–714, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. X. Ma, “Towards intelligent fleet management: local optimal speeds for fuel and emissions,” in Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes (ITSC '13), pp. 2201–2206, The Hague, The Netherlands, October 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. H. Noori and M. Valkama, “Impact of VANET-based V2X communication using IEEE 802.11p on reducing vehicles traveling time in realistic large scale urban area,” in Proceedings of the 2nd IEEE International Conference on Connected Vehicles and Expo (ICCVE '13), pp. 654–661, Las Vegas, Nev, USA, December 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. J. Jimenez-Palacios, Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote sensing [Ph.D. thesis], Massachusetts Institute of Technology, Cambridge, Mass, USA, 1999.
  21. Y. Hao, L. Yu, G. Song et al., “Analysis of driving behavior and emission characteristics for diesel transit buses using PEMS measurements,” in Proceedings of the 89th Transportation Research Board Annual Meeting, Washington, DC, USA, January 2009.
  22. H. Frey, A. Unal, J. Chen, S. Li, and C. Xuan, “Methodology for developing modal emission rates for EPA's multi-scale motor vehicle & equipment emission system,” Tech. Rep. EPA420-R-02-027, Environmental Protection Agency, Washington, DC, USA, 2002. View at Google Scholar
  23. T. Wang, R. Zhang, L. Zhang et al., “Analysis of the bus rapid transit (BRT) platform stop delay and the boarding time,” in Proceedings of the 5th Chinese TongZhou Transport Forum, Shanghai, China, 2008.