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An Integrated Fuzzy-Based Simulation System for Driving Risk Management in VANETs Considering Road Condition as a New Parameter

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1263))

Abstract

In this paper, we propose a new Fuzzy-based Simulation System for Driver Risk Management in Vehicular Ad hoc Networks (VANETs). The proposed system considers Driver’s Health Condition (DHC), Vehicle’s Environment Condition (VEC), Weather Condition (WC), Road Condition (RC) and Vehicle Speed (VS) to assess the risk level. The proposed system is composed of two Fuzzy Logic Controllers (FLCs): FLC1 and FLC2. FLC1 has the following inputs: WC, RC and VS and its output, together with VEC and DHC, serve as input parameters for FLC2. The input parameters’ data 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 system’s output i.e., driving risk level, a smart box informs the driver for a potential risk/danger and provides assistance. 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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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 & Phudit Ampririt

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

    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. Phudit Ampririt
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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 Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

    Kin Fun Li

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Bylykbashi, K., Qafzezi, E., Ampririt, P., Matsuo, K., Barolli, L., Takizawa, M. (2021). An Integrated Fuzzy-Based Simulation System for Driving Risk Management in VANETs Considering Road Condition as a New Parameter. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_2

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