非受控交叉路口多车混流互动的分散式类人控制策略:博弈论方法

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
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引用次数: 0

摘要

未来自动驾驶系统面临的一个关键挑战是提高应对复杂的真实世界交互场景(如失控交叉路口)的能力。在不久的将来,由人类驾驶的车辆(HDV)和联网自动驾驶车辆(CAV)组成的混合交通流将在交通网络中共存,这促使我们探索 HDV 和 CAV 之间的交互,以提高交通效率和安全性。为了帮助 CAV 更好地与 HDV 互动并适应混流环境,我们为 CAV 提出了一种类似人类的分散控制策略。首先,我们提出了一个博弈论框架来模拟混流环境中的多车互动(包括 HDV-CAV、CAV-CAV 互动)。证明了解决方案的存在,从而确保了所提出的博弈论模型的可行性。接下来,在所提出的模型中嵌入了驾驶风格识别算法,以帮助 CAV 理解和预测人类驾驶员的行为。通过真实世界的数据集对所提出的模型进行校准,并在多个测试场景中模拟交通。真实世界的车辆轨迹被用来验证模拟生成的车辆轨迹的准确性。实验结果表明:1)与保守的驾驶策略相比,CAV 在与 HDV 争夺路权时,使用所提出的方法可以采取更合理的行动来决定是否让路,同时确保安全;2)CAV 的普及率越高,就越能显著提高出行效率,降低在不受控制的交叉路口发生碰撞的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized human-like control strategy of mixed-flow multi-vehicle interactions at uncontrolled intersections: A game-theoretic approach

A critical challenge that future autonomous driving systems face is improving the ability to cope with complex real-world interaction scenarios such as uncontrolled intersections. In the near future, a mixed traffic flow of human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs) will coexist in transport networks, which motivates us to explore the interaction between HDVs and CAVs to improve traffic efficiency and safety. To help CAVs better interact with HDVs and adapt to the mixed-flow environment, we propose a human-like decentralized control strategy for CAVs. First, a game-theoretic framework is proposed to model multi-vehicle interactions (including HDV-CAV, CAV-CAV interactions) in the mixed-flow environment. The existence of solutions is proven to ensure the feasibility of the proposed game-theoretic model. Next, a driving style recognition algorithm is embedded into the proposed model to help CAVs understand and predict human drivers’ actions. The proposed model is calibrated via a real-world dataset and used to simulate traffic in several testing scenarios. Real-world vehicle trajectories are used to verify the accuracy of generated vehicle trajectories in simulations. Experimental results indicate that 1) CAVs can take more reasonable actions to determine whether to yield while ensuring safety when competing for the right of way with HDVs using the proposed method compared with conservative driving strategies, 2) a higher penetration rate of CAVs can significantly enhance travel efficiency and lower collision risk at uncontrolled intersections.

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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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