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An Analytical Model for Cooperative Control of Vehicle Platoon

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1330))

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Abstract

The cooperative control of the vehicle platoon is an important research field in smart transportation. In the existing research, the vehicle platoon cooperative control model’s establishment and analysis are always tricky. This paper tries to make an analysis model to reduce the vehicle platoon’s fuel consumption by controlling the vehicle’s acceleration input for the vehicle platoon’s cooperative control on the highway. The vehicle platoon’s cooperative control is modeled as the optimization problem with the relationship between acceleration input and fuel consumption under certain constraints. And a bacterial foraging algorithm is employed to solve this problem. The preliminary results showed the feasibility of our model.

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References

  1. Qiu, H.J.F., Ho, W.H., Chi, K.T., et al.: A methodology for studying 802.11p VANET broadcasting performance with practical vehicle distribution. IEEE Trans. Veh. Technol. 64(10), 4756–4769 (2014)

    Article  Google Scholar 

  2. Jia, D., Lu, K., Wang, J., et al.: A survey on platoon-based vehicular cyber-physical systems. IEEE Commun. Surv. Tutor. 18(1), 263–284 (2016)

    Article  Google Scholar 

  3. Ma, Y., Chowdhury, M., Sadek, A., et al.: Real-time highway traffic condition assessment framework using vehicle–infrastructure integration (VII) with artificial intelligence (AI). IEEE Trans. Intell. Transp. Syst. 10(4), 615–627 (2009)

    Article  Google Scholar 

  4. https://ec.europa.eu/information_society/activities/esafety/index_en.htm

  5. Makino, H.: The Smartway Project. National Institute for Land and Infrastructure Management in Japan, San Francisco (2010)

    Google Scholar 

  6. Jia, D.Y., Dong, N.: Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication. Transp. Res. Part B 90, 172–191 (2016)

    Article  Google Scholar 

  7. Shao, C.X., Leng, S., Zhang, Y., et al.: Performance analysis of connectivity probability and connectivity-aware MAC protocol design for platoon-based VANETs. IEEE Trans. Veh. Technol. 64(12), 5596–5609 (2015)

    Article  Google Scholar 

  8. Kita, E., Sakamoto, H.: Robot vehicle platoon experiment based on multi-leader vehicle following model. In: IEEE 2014 Second International Symposium on Computing and Networking, pp. 491–494 (2014)

    Google Scholar 

  9. Kwon, J.W., Chwa, D.: Adaptive bidirectional platoon control using a coupled sliding mode control method. IEEE Trans. Intell. Transp. Syst. 15(5), 2040–2048 (2014)

    Article  Google Scholar 

  10. Santhanakrishnan, K., Rajamani, R.: On spacing policies for highway vehicle automation. IEEE Trans. Intell. Transp. Syst. 4(4), 198–204 (2003)

    Article  Google Scholar 

  11. Peters, A.A., Mason, O.: Leader following with non-homogeneous weights for control of vehicle formations. In: IEEE Conference on Control Applications (CCA), pp. 109–113 (2016)

    Google Scholar 

  12. Kianfar, R., Falcone, P.: A control matching model predictive control approach to string stable vehicle platooning. Elsevier Control Eng. Pract. 45, 163–173 (2015)

    Article  Google Scholar 

  13. Sabãu, S.: Optimal distributed control for platooning via sparse coprime factorizations. IEEE Trans. Autom. Control 62(1), 305–320 (2017)

    Article  MathSciNet  Google Scholar 

  14. Kamal, M., Mukai, M., Murata, J., Kawabe, T.: Model predictive control of vehicles on urban roads for improved fuel economy. IEEE Trans. Control Syst. Technol. 21(3), 831–841 (2013)

    Article  Google Scholar 

  15. Rios-Torres, J., Malikopoulos, A.A.: Automated and cooperative vehicle merging at highway on-ramps. IEEE Trans. Intell. Transp. Syst. 18, 780–789 (2016)

    Article  Google Scholar 

  16. Passino, K.M.: Bacteria foraging optimization. In: Gazi, V., Passino, K.M. (eds.) Swarm Stability and Optimization, pp. 233–249. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-18041-5_11

    Chapter  MATH  Google Scholar 

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Funding

This work was funded by China National Key Research and Development Program (No. 2018YFE0197700).

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Correspondence to Yanjun Shi .

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Jin, N., Hu, F., Shi, Y. (2021). An Analytical Model for Cooperative Control of Vehicle Platoon. In: Sun, Y., Liu, D., Liao, H., Fan, H., Gao, L. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2020. Communications in Computer and Information Science, vol 1330. Springer, Singapore. https://doi.org/10.1007/978-981-16-2540-4_24

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  • DOI: https://doi.org/10.1007/978-981-16-2540-4_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2539-8

  • Online ISBN: 978-981-16-2540-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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