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International Conference on Emerging Internetworking, Data & Web Technologies

EIDWT 2020: Advances in Internet, Data and Web Technologies pp 102–113Cite as

Effect of Driver’s Condition for Driving Risk Measurement in VANETs: A Comparison Study of Simulation and Experimental Results

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 47))

Abstract

Vehicular Ad hoc Networks (VANETs) have gained 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 VANETs to accomplish one of its main goals, the road safety. In this paper, we propose an intelligent Fuzzy-based System for Driving Risk Management (FSDRM) in VANETs. The FSDRM considers driver’s vital signs data such as the driver’s heart and respiratory rate, vehicle speed and vehicle’s inside temperature to assess the risk level. Then, it uses the smart box to inform the driver and to provide better assistance. We aim to realize a new system to support the driver for safe driving. We evaluated the performance of the proposed system by computer simulations and experiments. From the evaluation results, we conclude that driver’s heart and respiratory rate, vehicle speed, and vehicle’s inside temperature have different effects on the assessment of risk level.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811–0295, Japan

    Kevin Bylykbashi & Ermioni Qafzezi

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Makoto Ikeda, Keita Matsuo & Leonard Barolli

Authors
  1. Kevin Bylykbashi
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  2. Ermioni Qafzezi
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  3. Makoto Ikeda
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  4. Keita Matsuo
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  5. Leonard Barolli
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Corresponding author

Correspondence to Kevin Bylykbashi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Innovation Center for Educational Resources, University Library, Kyushu University, Fukuoka, Japan

    Yoshihiro Okada

  3. Department of Electrical Engineering and Information Technology, University of Naples "Frederico II", Naples, Italy

    Flora Amato

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Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L. (2020). Effect of Driver’s Condition for Driving Risk Measurement in VANETs: A Comparison Study of Simulation and Experimental Results. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_12

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