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Effect of Vehicle Technical Condition on Real-Time Driving Risk Management in VANETs

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Advances in Internet, Data and Web Technologies (EIDWT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 65))

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Abstract

In this paper, we present a fuzzy-based driving-support system for real-time risk management in Vehicular Ad hoc Networks (VANETs) considering vehicle technical condition as a new parameter. The proposed system, called Fuzzy-based Simulation System for Driving Risk Management (FSSDRM), considers the current condition of different parameters which have an impact on the driver and vehicle performance to assess the risk level. The parameters include the vehicle speed, the weather and road condition, and factors that affect the driver’s ability to drive, such as his/her current health condition and the inside environment in which he/she is driving in addition to the vehicle technical condition. The data for input parameters can come from different sources, such as on-board and on-road sensors and cameras, sensors and cameras in the infrastructure and from the communications between the vehicles. Based on the driving risk level, the system can invoke a certain action, which when performed, it reduces the driving risk and provides a better driving support. We show through simulations the effect of the considered parameters on the determination of the driving risk and demonstrate a few actions that can be performed accordingly.

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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

  3. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, 3-7-2, Kajino-machi, Koganei-shi, Tokyo, 184-8584, Japan

    Makoto Takizawa

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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  6. Makoto Takizawa
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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. Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L., Takizawa, M. (2021). Effect of Vehicle Technical Condition on Real-Time Driving Risk Management in VANETs. In: Barolli, L., Natwichai, J., Enokido, T. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-030-70639-5_14

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