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Lightweight Cooperative Self-Localization as Support to Traffic Regulation for Autonomous Car Driving

  • Assia Belbachir
  • Marcia Pasin
  • Amal El Fallah Seghrouchni
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 737)

Abstract

Self-localization is a basic service for Intelligent Transportation Systems (ITS) such as traffic regulation services. Most of the used techniques are based on integration of Inertial Navigation System (INS) and Global Positioning System (GPS). However, navigation through areas such as tunnels, where GPS coverage is vulnerable, obliges the use of a different approach. Based on this observation, we designed and implemented a lightweight cooperative positioning algorithm based on Adaptive Localization Protocol (ALP). In this paper, we apply our method as support to an intersection service for traffic regulation, in which a group of concurrent cars shares an intersection/critical section. We found that our algorithm improves car position and regulates the traffic.

Keywords

Vehicle localization Adaptive protocol 

References

  1. 1.
    Agliamzanov, R., Gürcan, Ö., Belbachir, A., Yildirim, K.S.: Robust and efficient self-adaptive position tracking in wireless embedded systems. In: Proceedings of the 8th IFIP Wireless and Mobile Networking Conference, pp. 152–159. Munich (2015)Google Scholar
  2. 2.
    Baselt, D., Knorr, F., Scheuermann, B., Schreckenberg, M., Mauve, M.: Merging lanes—fairness through communication. Veh. Commun. 1(2), 97–104 (2014)CrossRefGoogle Scholar
  3. 3.
    Behrisch, M., Bieker, L., Erdmann, J., Krajzewicz, D.: SUMO—Simulation of Urban MObility (An Overview). In: Proceedings of the 3rd International Conference on Advances in System Simulation, pp. 63–68, Oct 2011Google Scholar
  4. 4.
    Dresner K., Stone, P.: Multiagent traffic management: a reservation-based intersection control mechanism. In: Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 530–537 (2004)Google Scholar
  5. 5.
    Ferreira, M., Fernandes, R., Conceição, H., Viriyasitavat, W., Tonguz, O.K.: Self-organized traffic control. In: Proceedings of the 7th ACM International Workshop on VehiculAr InterNETworking, pp. 85–90 (2010)Google Scholar
  6. 6.
    Karl, H., Willig, A.: Protocols and Architectures for Wireless Sensor Networks. Wiley (2005)Google Scholar
  7. 7.
    Pasin, M., Scheuermann, B., Fao de Moura R.: VANET-based intersection control with a throughput/fairness tradeoff. In: Proceedings of the 8th IFIP Wireless and Mobile Networking Conference, pp. 208–215. Munich (2015)Google Scholar
  8. 8.
    Qu, Y., Zhang, Y., Zhou, Q.: Cooperative localization of UAV based on information synchronization. In: International Conference on Mechatronics and Automation, pp. 225–230 (2010)Google Scholar
  9. 9.
    Shames, I., Fidan, B., Anderson, B., Hmam, H.: Cooperative self-localization of mobile agents. IEEE Trans. Aerosp. Electron. Syst. 47(3), 1926–1947 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Assia Belbachir
    • 1
    • 3
  • Marcia Pasin
    • 2
  • Amal El Fallah Seghrouchni
    • 3
  1. 1.Institut Polytechnique des Sciences Avancées (IPSA)Ivry-sur-SeineFrance
  2. 2.Universidade Federal de Santa MariaSanta MariaBrazil
  3. 3.University Pierre and Marie Curie (Paris 6)ParisFrance

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