Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers
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DOI：
10.1145/3459609.3460530
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发表时间：
2021-04
期刊：
影响因子：
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通讯作者：
Jonathan W. Lee;George Gunter;R. Ramadan;Sulaiman Almatrudi;Paige Arnold;John Aquino;William Barbour-William
中科院分区：
文献类型：
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作者：
Jonathan W. Lee;George Gunter;R. Ramadan;Sulaiman Almatrudi;Paige Arnold;John Aquino;William Barbour-William
这项工作提出了一个综合框架：车辆动力学模型，特别注意不稳定性和交通波;车辆能量模型，特别注意精确的能量值强烈不稳定的驾驶配置文件;和稀疏拉格朗日控制通过自动驾驶汽车，重点是控制，可以通过现有的技术，如自适应巡航控制系统执行。这个框架作为一个关键的积木在开发控制策略的人在回路交通流平滑真实的高速公路。在这篇文章中，我们概述了将车辆动力学和能量建模集成到一个框架中的基本优点，并通过仿真结果展示了稀疏流平滑控制器的能量影响。
This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular attention to accurate energy values for strongly unsteady driving profiles; and sparse Lagrangian controls via automated vehicles, with a focus on controls that can be executed via existing technology such as adaptive cruise control systems. This framework serves as a key building block in developing control strategies for human-in-the-loop traffic flow smoothing on real highways. In this contribution, we outline the fundamental merits of integrating vehicle dynamics and energy modeling into a single framework, and we demonstrate the energy impact of sparse flow smoothing controllers via simulation results.