Autonomous interchange management strategy with dynamic vehicle system: An algorithm proposal

Traffic lights play an important role in traffic management as one of the key components at intersections. Delays at signalized intersections significantly affect travel time. Intersection coordination is one of the most effective ways to ensure traffic continuity. Signal-coordinated lights at intersections can significantly reduce delays, queue lengths and travel times for vehicles traveling on main roads. Autonomous vehicles developed within the framework of modern technologies have now become a part of transportation systems. The study evaluates the effectiveness of autonomous vehicle systems to minimize delays at intersections. Autonomous vehicle systems offer potential benefits in intersection coordination and traffic management. These systems can communicate with each other to optimize traffic flow at intersections. This communication can minimize delays at signalized intersections by enabling vehicles to coordinate their speed and distance. In addition, autonomous vehicle systems can predict traffic flow and optimize signaling plans based on these predictions. There has been a lot of research showing that autonomous vehicle systems can be successful in reducing delays at intersections. These studies have shown that autonomous vehicles improve traffic flow by providing coordination and signal planning is made more effective. However, autonomous vehicles are not yet widely used, and as most existing vehicles are still under human control, delays at signalized intersections persist. Autonomous vehicle systems can play an important role in traffic management at intersections. The use of these systems can reduce travel times and queue lengths by reducing delays at signalized intersections. However, further development and regulatory measures are needed for the widespread use of autonomous vehicles. Autonomous vehicle systems have significant potential in traffic management. These systems can more effectively manage traffic flow by driving autonomously. In addition, autonomous vehicles can communicate with each other and with other vehicles at intersections, further optimizing traffic flow. The potential for autonomous vehicles to reduce delays at intersections also depends on other factors. For example, factors such as the number of autonomous vehicles, the density of traffic flow and the condition of signaling systems at intersections can affect the effectiveness of autonomous vehicles. In addition, regulatory and adoption of autonomous vehicles may also affect the potential of autonomous vehicles to reduce delays at intersections. This study presents two different methods developed to reduce the delays of autonomous vehicles at signalized intersections. For this purpose, Webster's Method was adapted for autonomous vehicles and was used to calculate delays at signalized intersections. In addition, an autonomous intersection management system without signal control was designed and tested using simulation software. The results show that signalized intersection delays can be reduced by 10 times. This is an important improvement because congestion and delays at signalized intersections slow traffic and increase travel time. The faster and more efficient movement of autonomous vehicles at intersections will streamline traffic and reduce travel time. This study is one of the methods that autonomous vehicles can use to make traffic more efficient. Future work could develop new ways for autonomous vehicles to manage traffic more effectively and make the use of this technology more widespread. Investments in autonomous vehicle technologies should be increased, and technology developments should continue rapidly and progressively. As more people begin to rely on autonomous vehicles, their use may become more common. As a result, as the study shows, traffic flow can become faster and more efficient, the number of traffic accidents can be reduced and an environmentally friendly transportation system can be created. The findings of the study show a significant reduction in signalized intersection delays with the use of autonomous vehicles. This improvement is crucial as congestion and delays at intersections contribute to slowing traffic and increasing travel times. By enabling autonomous vehicles to move faster and more efficiently at intersections, the overall traffic flow can be regulated, resulting in reduced travel times. This study represents one of the ways that autonomous vehicles can contribute to improving traffic efficiency. However, there is still room for further research and development to explore additional ways autonomous vehicles can manage traffic effectively. As we continue to invest in autonomous vehicle technologies and advance their development, we can expect to witness further improvements. Increasing investments in autonomous vehicle technologies is important for their widespread use. As more people begin to rely on autonomous vehicles, their presence on the road may become more common. The study suggests that with increased adoption, traffic flow could become faster and more efficient, leading to a potential reduction in traffic accidents. In addition, an environmentally friendly transportation system can be achieved by taking advantage of the benefits of autonomous vehicles, such as optimizing routes, reducing fuel consumption and potentially facilitating the transition to electric or alternative fuel vehicles. In summary, the study highlights the potential of autonomous vehicles to make traffic more efficient, reduce delays, reduce the number of accidents and contribute to an environmentally friendly transport system. Continued investments and advances in autonomous vehicle technologies will play a crucial role in realizing these benefits and promoting widespread adoption of this technology.