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Traffic Light Intelligent Regulation Using Infrastructure Located Sensors

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6928))

Abstract

This paper presents a central station controlling the traffic flow of an intersection. In the proposed scenario autonomously driven and manually driven vehicles are mixed. The objective is to regulate both types of vehicles. Autonomously driven ones are controlled via wireless LAN communications; the autonomous vehicles send their positions and wait for the permission to traverse the intersection. The manually driven cars are detected in certain positions and controlled using the traffic lights. This paper presents the main idea implementation and shows the initial tests. After the discussion of the test results, some alternatives and future work lines are also exposed.

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References

  1. Alonso, J., Milanés, V., Onieva, E., Perez, J., García, R.: Safe Crossroads via Vehicle to Vehicle Communication. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2009. LNCS, vol. 5717, pp. 421–428. Springer, Heidelberg (2009)

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  2. Alonso, J., Milanés, V., Onieva, E., Pérez, J., González, C., de Pedro, T.: Cartography For Cooperative Manoeuvres: Autopia’s new Cartography System for Cooperative Manoeuvres among Autonomous Vehicles. The Journal of Navigation 64, 141–155 (2011)

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  3. Alonso, J.: Cooperative Driving Manouvres among Autonomous Vehicles. Phd thesis, Facultad de Informática, Universidad Politécnica de Madrid (2009)

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Roberto Moreno-Díaz Franz Pichler Alexis Quesada-Arencibia

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© 2012 Springer-Verlag Berlin Heidelberg

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Alonso, J. et al. (2012). Traffic Light Intelligent Regulation Using Infrastructure Located Sensors. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_51

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  • DOI: https://doi.org/10.1007/978-3-642-27579-1_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27578-4

  • Online ISBN: 978-3-642-27579-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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