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A Cooperative Control System for Virtual Train Crossing

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Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9883))

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Abstract

The use of individual vehicles is increasing in inner cities involving a large number of unwanted side effects. However, the rise of intelligent vehicle technologies allows finding a solution to some of these problem bringing new vehicle usage. For traffic jam management, aside to widespread traffic light control, one of the promising solutions is the possibility to form virtual trains with vehicles so as to increase road capacities. This solution, however relevant it is, suffer from limitations when the road network has many interconnections where interactions between trains are hard to define. This requires thus a control process which can deal with train, vehicles, and hardware control issues. The goal of this paper is to propose a multi-level cooperative control system. This proposal relies on a dynamic adaptation of train parameters in runtime and allows crossroads and roundabout sharing without stopping any vehicle. The proposal is tested in simulation coping with the roundabout scenario.

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Notes

  1. 1.

    http://www.parc-innovation-strasbourg.eu/index.php/CATS-Project/welcome-on-cats-webpage.html.

  2. 2.

    http://web.utbm.fr/safeplatoon/.

  3. 3.

    http://www.vivus-simulator.org/Main_Page.

References

  1. Chen, B., Gechter, F., Koukam, A.: Multi-level decision system for the crossroad scenario. Procedia Comput. Sci. 51, 453–462 (2015)

    Article  Google Scholar 

  2. Dafflon, B., Chen, B., Gechter, F., Gruer, P.: A self-adaptive agent-based path following control lateral regulation and obstacles avoidance. In: International Conference on High Performance Computing and Simulation (HPCS), pp. 452–459 (2014)

    Google Scholar 

  3. Pascal (INRIA) Daviet and Michel (INRIA) Parent. Longitudinal and lateral servoing of vehicles in a platoon. In: Proceedings of Conference on Intelligent Vehicles, pp. 41–46. IEEE (1996)

    Google Scholar 

  4. Fritz, H.: Longitudinal and lateral control of heavy duty trucks for automated vehicle following in mixed traffic: experimental results from the CHAUFFEUR project. In: Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No. 99CH36328), vol. 2, pp. 1348–1352. IEEE (1999)

    Google Scholar 

  5. Gechter, F., Contet, J.M., Galland, S., Lamotte, O.: VIVUS: virtual intelligent vehicle urban simulator: application to vehicle platoon evaluation. Simul. Model. Pract. Theor. 24(Complete), 103–114 (2012)

    Article  Google Scholar 

  6. Guillet, A., Lenain, R., Thuilot, B., Martinet, P.: Adaptable robot formation control: adaptive and predictive formation control of autonomous vehicles. IEEE Robot. Autom. Mag. 21(1), 28–39 (2014)

    Article  Google Scholar 

  7. Hu, C.,Wang, Y.: A novel intelligent traffic light control scheme. In: 2010 Ninth International Conference on Grid and Cloud Computing, pp. 372–376. IEEE, November 2010

    Google Scholar 

  8. Khamis, M.A., Gomaa, W., El-Shishiny, H.: Multi-objective traffic light control system based on Bayesian probability interpretation. In: 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 995–1000. IEEE, September 2012

    Google Scholar 

  9. Levinson, J., Askeland, J., Becker, J., Dolson, J., Held, D., Kammel, S., Kolter, J.Z., Langer, D., Pink, O., Pratt, V., Sokolsky, M., Stanek, G., Stavens, D., Teichman, A., Werling, M., Thrun, S.: Towards fully autonomous driving: systems and algorithms. In: IEEE Intelligent Vehicles Symposium (IV), pp. 163–168 (2011)

    Google Scholar 

  10. Luettel, T., Himmelsbach, M., Wuensche, H.-J.: Autonomous ground vehicles - concepts and a path to the future. Proc. IEEE 100(Special CentennialIssue), 1831–1839 (2012)

    Article  Google Scholar 

  11. Perronnet, F., Abbas-Turki, A., Buisson, J., El Moudni, A., Zeo, R., Ahmane, M.: Cooperative intersection management: real implementation and feasibility study of a sequence based protocol for urban applications. In: 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 42–47. IEEE, September 2012

    Google Scholar 

  12. Sheikholeslam, S., Desoer, C.A.: Longitudinal control of a platoon of vehicles with no communication of lead vehicle information: a system level study. IEEE Trans. Veh. Technol. 42(4), 546–554 (1993)

    Article  Google Scholar 

  13. El Zaher, M.: Approche réactive pour la conduite en convoi desvéhicules autonomes: Modélisation et vérification. Ph.D. thesis, Université de Technologie deBelfort-Montbéliard (2013)

    Google Scholar 

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Authors and Affiliations

  1. University of Technologie of Belfort Montbliard, UBFC, F-90010, Belfort Cedex, France

    Bofei Chen & Franck Gechter

Authors
  1. Bofei Chen
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  2. Franck Gechter
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Correspondence to Bofei Chen .

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Editors and Affiliations

  1. Winston-Salem State University, Winston Salem, North Carolina, USA

    Christo Dichev

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Gennady Agre

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Chen, B., Gechter, F. (2016). A Cooperative Control System for Virtual Train Crossing. In: Dichev, C., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2016. Lecture Notes in Computer Science(), vol 9883. Springer, Cham. https://doi.org/10.1007/978-3-319-44748-3_32

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  • DOI: https://doi.org/10.1007/978-3-319-44748-3_32

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  • Online ISBN: 978-3-319-44748-3

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