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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