Abstract
Vehicular Ad Hoc Networks (VANETs) have gained a great attention due to the rapid development of mobile internet and Internet of Things (IoT) applications. With the evolution of technology, it is expected that VANETs will be massively deployed in upcoming vehicles. In addition, ambitious efforts are being done to incorporate Ambient Intelligence (AmI) technology in the vehicles, as it will be an important factor for VANET to accomplish one of its main goals, the road safety. In this paper, we propose an intelligent system for improving driving condition using fuzzy logic. The proposed system considers in-car environment data such as the ambient temperature and noise, and driver’s vital signs data, i.e. heart and respiratory rate, to make the decision. Then, it uses the smart box to inform the driver and to provide a better assistance. We aim to realize a new system to support the driver for safe driving. We evaluated the performance of proposed system by computer simulations and experiments. From the evaluation results, we conclude that the driver’s heart rate and respiratory rate, noise level and vehicle’s inside temperature have different effects to the driver’s condition.
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Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L. (2020). Implementation of a Fuzzy-Based Simulation System and a Testbed for Improving Driving Conditions in VANETs Considering Drivers’s Vital Signs. In: Barolli, L., Nishino, H., Enokido, T., Takizawa, M. (eds) Advances in Networked-based Information Systems. NBiS - 2019 2019. Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-29029-0_4
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DOI: https://doi.org/10.1007/978-3-030-29029-0_4
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