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A study conducted by Weizi Li and colleagues from the University of Tennessee reveals that robotic vehicles can optimize traffic flow in cities even when mixed with vehicles driven by humans. The research focuses on using AI algorithms to control the complex mixed traffic system, aiming to improve traffic efficiency, safety, and energy consumption. The experiments show that as the number of robot vehicles in traffic increases, overall traffic can be optimized by allowing them to affect vehicles driven by people.
The study found that when robot vehicles make up just 5% of traffic, traffic jams are eliminated, and when they make up 60% of traffic, traffic efficiency surpasses that of traffic controlled by traffic lights. This research is significant as it addresses the worsening traffic conditions in major cities globally and offers a potential solution through AI-driven robot vehicles. The study highlights the importance of developing control algorithms to harness the benefits of autonomous transportation systems in a gradual transition to fully autonomous traffic.
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