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Intelligence-Based Strategies with Vehicle-to-Everything Network: A Review

Author

Listed:
  • Navdeep Bohra

    (Department of CSE/IT, Maharaja Surajmal Institute of Technology, New Delhi 110058, India)

  • Ashish Kumari

    (Department of CSE/IT, Maharaja Surajmal Institute of Technology, New Delhi 110058, India)

  • Vikash Kumar Mishra

    (Department of Electrical Engineering, University of Cape Town, Rondebosch 7700, South Africa)

  • Pramod Kumar Soni

    (Department of Computer Applications, Manipal University Jaipur, Jaipur 302007, India)

  • Vipin Balyan

    (Department of Electrical, Electronics, and Computer Engineering, Cape Peninsula University of Technology, Cape Town 8000, South Africa)

Abstract

Advancements in intelligent vehicular networks and computing systems have created new possibilities for innovative approaches that enhance traffic safety, comfort, and transportation performance. Machine Learning (ML) has become widely employed for boosting conventional data-driven methodologies in various scientific study domains. The integration of a Vehicle-to-Everything (V2X) system with ML enables the acquisition of knowledge from multiple places, enhances the operator’s awareness, and predicts future crashes to prevent them. The information serves multiple functions, such as determining the most efficient route, increasing the driver’s knowledge, forecasting movement strategy to avoid risky circumstances, and eventually improving user convenience, security, and overall highway experiences. This article thoroughly examines Artificial Intelligence (AI) and ML methods that are now investigated through different study endeavors in vehicular ad hoc networks (VANETs). Furthermore, it examines the benefits and drawbacks accompanying such intelligent methods in the context of the VANETs system and simulation tools. Ultimately, this study pinpoints prospective domains for vehicular network development that can utilize the capabilities of AI and ML.

Suggested Citation

  • Navdeep Bohra & Ashish Kumari & Vikash Kumar Mishra & Pramod Kumar Soni & Vipin Balyan, 2025. "Intelligence-Based Strategies with Vehicle-to-Everything Network: A Review," Future Internet, MDPI, vol. 17(2), pages 1-40, February.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:2:p:79-:d:1587981
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    References listed on IDEAS

    as
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