超要約: 自動運転の渋滞を、車間距離制御で解決する研究だよ!💖
● 渋滞(じゅうたい)を抑(おさ)える新技術「フォロワーストップ」がスゴい! ● シミュレーションで効果を検証(けんしょう)してるから、信ぴょう性(しんぴょうせい)アゲ! ● IT業界(ぎょうかい)が抱(かか)える課題(かだい)を解決(かいけつ)できるかも?!
背景 自動運転車が増(ふ)えると、渋滞が起きやすくなる問題があるの!😱 IDMっていう車間距離(しゃかんきょり)を保つモデルを使うと、ちょっとした乱れが波及(はきゅう)して渋滞になることも…💦
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This paper examines the IDM microscopic car-following model from a dynamical systems perspective, analyzing the effects of delay on congestion formation. Further, a case of mixed-autonomy is considered by controlling one car with Followerstopper in a ring road setting containing IDM vehicles as human drivers. Specifically, the stop-and-go waves phenomenon in idealized traffic from a dynamical systems perspective is examined. We show that Followerstopper-controlled vehicle is effective at eliminating emergent stop-and-go waves in the IDM traffic simulation. We show through simulation that the uniform flow manifold is unstable for the ring road simulation with IDM vehicles, and that replacing a single car with Followerstopper induces stability, allowing the cars to drive safely at a uniform speed. Additionally, the case of known delay is considered in a mixed-autonomy scenario. Our simulation result shows that while considering a known time delay, traffic waves emerge earlier than in the no-delay case. At the same time, a single-vehicle controlled using Followerstopper controller is able to prevent the emergence of traffic waves even in the presence of delay.