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Intelligent Transportation Systems (ITS) encompass several strategies aimed at ensuring safe and efficient vehicle-to-vehicle interactions on roads. These strategies involve the implementation of advanced technologies, including intelligent traffic lights, wireless (V2X) communication systems, visual recognition systems, and algorithms. In this research, we introduce the implementation of a distributed algorithm tailored for managing highly complex road infrastructure, particularly intersections in urban areas with multiple lanes. Our evaluation of the system’s performance involves applying a type of density distribution called “Biased” and comparing it against a traditional traffic control system (traffic lights - “Green Wave”). The inclusion of this type of density distribution aims to align our approach with real-world traffic conditions, specifically the variation in densities across different lanes. This comprehensive assessment allows for a more thorough evaluation of system performance.

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Optimizing Vehicle Coordination at Multi-lane Intersections Using Traffic Control Algorithms

  • 会议论文

  • 发表日期：

    2025年

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  • Cesar L. González,
  • Santiago L. Delgado,
  • Juan Miguel Alberola,
  • Luis F. Niño,
  • Vicente Julian

摘要

Intelligent Transportation Systems (ITS) encompass several strategies aimed at ensuring safe and efficient vehicle-to-vehicle interactions on roads. These strategies involve the implementation of advanced technologies, including intelligent traffic lights, wireless (V2X) communication systems, visual recognition systems, and algorithms. In this research, we introduce the implementation of a distributed algorithm tailored for managing highly complex road infrastructure, particularly intersections in urban areas with multiple lanes. Our evaluation of the system’s performance involves applying a type of density distribution called “Biased” and comparing it against a traditional traffic control system (traffic lights - “Green Wave”). The inclusion of this type of density distribution aims to align our approach with real-world traffic conditions, specifically the variation in densities across different lanes. This comprehensive assessment allows for a more thorough evaluation of system performance.