Abstract
In this paper, we propose an intelligent Fuzzy-based Simulation System for Driver Risk Management in Vehicular Ad hoc Networks (VANETs). The proposed system considers Vehicle’s Environment Condition (VEC), Weather Condition (WC), Vehicle Speed (VS) and Driver’s Health Condition (DHC) to assess the risk level. The input parameters’ data can come from different sources, such as on board and on road sensors, sensors in the infrastructure and communications. Based on the system’s output i.e., risk level, a smart box informs the driver and provides assistance. We show through simulations the effect of the considered parameters on the determination of the risk level and demonstrate a few actions that can be performed accordingly.
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Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L., Takizawa, M. (2021). A Fuzzy-Based Simulation System for Driving Risk Management in VANETs Considering Weather Condition as a New Parameter. In: Barolli, L., Poniszewska-Maranda, A., Park, H. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2020. Advances in Intelligent Systems and Computing, vol 1195. Springer, Cham. https://doi.org/10.1007/978-3-030-50399-4_3
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