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A Fuzzy Logic-Based Anticipation Car-Following Model

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Transactions on Computational Collective Intelligence XXX

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 11120))

Abstract

The human drivers in a real world decide and act according to their experience, logic, and judgments. In contrast, mathematical models act according to mathematical equations that ensure the precision of decision to take. However, these models do not provide a promising simulation and they do not reflect the human behaviors. In this context, we present in this paper a completely artificial intelligence anticipation model of car-following problem based on fuzzy logic theory, in order to estimate the velocity of the leader vehicle in near future. The results of experiments, which were conducted by using Next Generation Simulation (NGSIM) dataset to validate the proposed model, indicate that the vehicle trajectories simulated based on the new model are in compliance with the actual vehicle trajectories in terms of deviation and gap distance. In addition, the road security is assured in terms of harmonization between gap distance and security distance.

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Author information

Authors and Affiliations

  1. SMART, Institut Supérieur de Gestion de Tunis-ISGT, Université de Tunis, 41, Avenue de la Liberté, CitéBouchoucha, 2000, Bardo, Tunis, Tunisia

    Anouer Bennajeh, Slim Bechikh & Lamjed Ben Said

  2. LIRIS, UniversitClaude Bernard Lyon 1-UCBL, 43, Bd du 11 novembre 1918, 69622, Villeurbanne Cedex, France

    Samir Aknine

Authors
  1. Anouer Bennajeh
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  2. Slim Bechikh
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  3. Lamjed Ben Said
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  4. Samir Aknine
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Correspondence to Anouer Bennajeh .

Editor information

Editors and Affiliations

  1. Wroclaw University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, SA, Australia

    Richard Kowalczyk

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Bennajeh, A., Bechikh, S., Said, L.B., Aknine, S. (2018). A Fuzzy Logic-Based Anticipation Car-Following Model. In: Thanh Nguyen, N., Kowalczyk, R. (eds) Transactions on Computational Collective Intelligence XXX. Lecture Notes in Computer Science(), vol 11120. Springer, Cham. https://doi.org/10.1007/978-3-319-99810-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-99810-7_10

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