Özet:

Abstract This research paper introduces a novel approach to coordinate lane changes among autonomous vehicles in congested areas. Unlike existing centralized control methods, our proposed approach combines vehicle-to-vehicle communication and local decision-making to ensure safe and efficient lane changes. By harnessing the capabilities of autonomous vehicles to communicate with each other, our approach effectively manages traffic flow without the need for external control systems. Extensive simulations were conducted in a congested highway scenario, incorporating both autonomous and human-driven vehicles to closely resemble real-world conditions. The results demonstrate significant improvements in transportation efficiency and safety. Our approach reduces travel time by 20% compared to the baseline scenario and achieves a remarkable 15% reduction in fuel consumption, promoting environmental sustainability. Safety during lane changes is ensured, effectively preventing collisions and minimizing accident risks. Moreover, the research highlights the scalability of the proposed approach, as it successfully manages traffic flow even with a large number of vehicles in the simulation, showcasing its robustness and adaptability to varying traffic scenarios. The implications of this research are substantial, contributing to the advancement and implementation of autonomous vehicle technology in high traffic density environments. By offering a decentralized solution for coordinating lane changes, our approach has the potential to revolutionize urban mobility and reduce the overall environmental impact of transportation systems. In conclusion, this research presents a comprehensive approach that outperforms existing methods in terms of traffic flow management, safety, and scalability. The findings pave the way for more efficient, safe, and sustainable autonomous vehicle systems, shaping the future of transportation.

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