Abstract
In our previous work, we implemented an intelligent system based on Fuzzy Logic (FL) for deciding the driver’s impatience in VANETs. The implemented system considered parameters that determine driver’s impatience, such as the number of forced stops, the unnecessary maneuvers, and the time pressure. In this work, we implement another system that considers the task importance as an additional input. We show through simulations the effect that the task importance and the other parameters have on the determination of the driver’s impatience, and demonstrate some actions that can be performed when the driver shows high degrees of impatience.
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Bylykbashi, K., Qafzezi, E., Ampririt, P., Barolli, A., Kulla, E., Barolli, L. (2022). A Fuzzy-Based System for Determining Driver Impatience in VANETs Considering Number of Forced Stops, Unnecessary Maneuvers, Time Pressure and Task Importance. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_16
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DOI: https://doi.org/10.1007/978-3-031-14314-4_16
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