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A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles

机译:自动驾驶汽车的新型安全变道轨迹模型及防撞控制方法

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Lane change maneuvers, are important contributors to road traffic accidents on highway. In this paper, we propose a new safe lane change trajectory model and collision avoidance control method for Society of Automotive Engineers (SAE)-level 2 automatic driving vehicles. First, a Gaussian distribution is used to describe the new trajectory model that uses pure steering and combined braking. According to regional and progressive states, a new safe lane change meaning is defined. Second, we design a new four-level automatic driving mode and an effective decision mechanism that considers safety and ergonomics. Moreover, a new trajectory tracking controller combined with a decision mechanism was designed using feedback linearization, verified using typical lane-change scenarios. Finally, based on a physical simulation platform, PreScan, the hardware-in-the-loop simulation result demonstrate the feasibility and effectiveness of our method. This paper provides a valuable reference on an expert and intelligent system methodology for automatic driving vehicles, which will be helpful for improving highway traffic safety and efficiency. (C) 2019 Elsevier Ltd. All rights reserved.
机译:变道演习是导致高速公路上道路交通事故的重要因素。在本文中,我们为汽车工程师协会(SAE)二级自动驾驶汽车提出了一种新的安全车道变更轨迹模型和防撞控制方法。首先,使用高斯分布来描述使用纯转向和组合制动的新轨迹模型。根据区域和进步状态,定义了新的安全车道变更含义。其次,我们设计了一种新的四级自动驾驶模式以及一种考虑安全性和人体工程学的有效决策机制。此外,使用反馈线性化设计了结合决策机制的新型轨迹跟踪控制器,并使用典型的车道变换场景进行了验证。最后,在物理仿真平台PreScan的基础上,半实物仿真结果证明了该方法的可行性和有效性。本文为自动驾驶汽车的专家和智能系统方法学提供了有价值的参考,这将有助于提高高速公路的交通安全性和效率。 (C)2019 Elsevier Ltd.保留所有权利。

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