Abstract
Cooperative Intelligent Transport Systems (C-ITS) aim to provide innovative solutions that can contribute to a better road management. Green Light Optimal Speed Advisory (GLOSA) is one of the traffic efficiency ITS services that can enhance traffic fluidity and fuel consumption economy. In this paper, we present driver reaction impact on GLOSA performance through a realistic simulation scenario taking into account the variation of penetration rate. In our work, we use vehicular network architecture ITS-G5 and we test our simple segment approach algorithm under a realistic traffic topology. Results show that driver reaction can significantly influence GLOSA performance in terms of fuel consumption and number of stopped vehicles.
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Eckhoff, D., Halmos, B., German, R.: Potentials and limitations of green light optimal speed advisory systems. In: 2013 IEEE Vehicular Networking Conference (VNC), pp. 103–110. IEEE (2013)
Stebbins, S., Hickman, M., Kim, J., Vu, H.L.: Characterising green light optimal speed advisory trajectories for platoon-based optimisation. Transp. Res. Part C Emerg. Technol. 82, 43–62 (2017)
Luo, Y., Li, S., Zhang, S., Qin, Z., Li, K.: Green light optimal speed advisory for hybrid electric vehicles. Mech. Syst. Signal Process. 87, 30–44 (2017)
Suzuki, H., Marumo, Y.: A new approach to green light optimal speed advisory (GLOSA) systems and its limitations in traffic flows. In: Ahram, T., Karwowski, W., Taiar, R. (eds.) IHSED 2018. AISC, vol. 876, pp. 776–782. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-02053-8_118
Karoui, M., Freitas, A., Chalhoub, G.: Efficiency of speed advisory boundary finder (SABIN) strategy for GLOSA using ITS-G5. In: 2018 IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), pp. 1–6. IEEE (2018)
Riebl, R., Günther, H.J., Facchi, C., Wolf, L.: Artery: extending veins for vanet applications. In: 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pp. 450–456. IEEE (2015)
Sommer, C., Joerer, S., Dressler, F.: On the applicability of two-ray path loss models for vehicular network simulation. In: 2012 IEEE Vehicular Networking Conference (VNC), pp. 64–69. IEEE (2012)
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This work is supported by C-ROADS France European project.
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Karoui, M., Freitas, A., Chalhoub, G. (2019). Impact of Driver Reaction and Penetration Rate on GLOSA. In: Hilt, B., Berbineau, M., Vinel, A., Jonsson, M., Pirovano, A. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2019. Lecture Notes in Computer Science(), vol 11461. Springer, Cham. https://doi.org/10.1007/978-3-030-25529-9_2
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DOI: https://doi.org/10.1007/978-3-030-25529-9_2
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