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Experimental Development of a New Target and Control Driver Steering Model Based on DLC Test Data

机译:基于DLC测试数据的新型目标控制驾驶员转向模型的实验开发

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This paper describes the development of a driver steering model that captures driver key steering mechanisms based on the analyses of vehicle test data on the standard double lane change (DLC) course. These analyses indicate that, instead of planning and following a desired path according to the traditional trajectory-planning concept, drivers simply use the next lane center as the target points for control during lane changes. The data also suggest that drivers engage steering rate control instead of the conventional steering angle control to steer the vehicle. Accordingly, this paper proposes a relatively straightforward driver steering model based on this target and control scheme. Both the open-loop identification and closed-loop simulations verify that this relatively simple driver steering model is capable of capturing individual driver steering behavior and that the simulated steering rate matches well with the actual steering rate for all 80 vehicle test runs conducted by 20 different drivers.
机译:本文介绍了一种驾驶员转向模型的开发,该模型基于对标准双车道变更(DLC)路线上的车辆测试数据的分析来捕获驾驶员的关键转向机制。这些分析表明,与按照传统的轨迹规划概念进行规划并遵循期望的路径不同,驾驶员仅使用下一个车道中心作为换道时进行控制的目标点。数据还表明,驾驶员采用转向率控制而不是传统的转向角控制来使车辆转向。因此,本文基于该目标和控制方案提出了一种相对简单的驾驶员转向模型。开环识别和闭环仿真都验证了这种相对简单的驾驶员转向模型能够捕获单个驾驶员的转向行为,并且模拟转向率与由20种不同方式进行的所有80次车辆测试运行的实际转向率非常匹配。司机。

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