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Fuzzy Logic-Based Planning of the Behavior of Autonomous Vehicles

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15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022 (ICAFS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 610))

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Abstract

The article suggests a fuzzy approach to safe navigation when changing lanes in a road scenario. The approach is to create a module for making informed decisions during lane changes by several agents in order to avoid collisions. The price libraries used in this model help to make decisions when changing lanes. The article describes two modules two fuzzy modules, a fuzzy target control module, and a fuzzy collision avoidance control module are designed to perform these two tasks.

As a result, with the help of dynamic fuzzy clustering methods, adaptive driving of an unmanned vehicle (DUV) management is supported, which allows for minimizing the risks of road accidents (accidents involving DUV) and maximizing traffic (total output flow) in conditions of intense traffic flow.

In the article, the simulation of a robot car moving along the lane and changing the lane of the Road is implemented in the Matlab environment.

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Author information

Authors and Affiliations

  1. Azerbaijan State University of Oil and Industry, Baku, Azerbaijan

    A. B. Sultanova

  2. Institute of Control Systems of ANAS, Azerbaijan, Baku, AZ1010, Azerbaijan

    A. B. Sultanova

Authors
  1. A. B. Sultanova
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Corresponding author

Correspondence to A. B. Sultanova .

Editor information

Editors and Affiliations

  1. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    R. A. Aliev

  2. System Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    W. Pedrycz

  4. Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA

    Mo. Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    M. B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Türkiye

    F. Sadikoglu

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Sultanova, A.B. (2023). Fuzzy Logic-Based Planning of the Behavior of Autonomous Vehicles. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_75

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