Stable Interaction of Autonomous Vehicle Platoons with Human-Driven Vehicles

Mohammad Pirani, Yining She, Renzhi Tang, Zhihao Jiang, Y. Pant
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引用次数: 3

Abstract

A necessary prerequisite for the safe interaction of autonomous systems with a human-driven vehicle is for the overall closed-loop system (autonomous systems plus human-driven vehicle) to be stable. This paper studies the safe and stable interaction between a platoon of autonomous vehicles and a set of human-driven vehicles. Considering the longitudinal motion of the vehicles in the platoon, the problem is to ensure a safe emergency braking by the autonomous platoon considering the actions of human-driven vehicles, which may vary based on the driver type. We consider two types of platoon topologies, namely unidirectional and bidirectional. Safe emergency braking is characterized by a specific type of platoon stability, called head-to-tail stability (HTS). We present system-theoretic necessary and sufficient conditions for the combination of the autonomous platoon and human-driven vehicles to be HTS for two platoon control laws, namely the velocity tracking and the platoon formation. Modeling the input-output behavior of each vehicle via a transfer function, the HTS conditions restrict the human-driven vehicles’ transfer functions to have H∞ norms below certain thresholds. A safe interaction algorithm first identifies the transfer functions of the human-driven vehicles. Then, it tunes the platoon control gains such that the overall system meets HTS conditions. Theoretical results are validated with both experimental data with human subject studies and simulation studies.
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自动驾驶车辆队列与人类驾驶车辆的稳定交互
自动驾驶系统与人类驾驶车辆安全交互的必要前提是整个闭环系统(自动驾驶系统加人类驾驶车辆)的稳定性。本文研究了一组自动驾驶车辆与一组人类驾驶车辆之间安全稳定的交互问题。考虑到队列中车辆的纵向运动,问题是考虑到人类驾驶车辆的行为,而人类驾驶车辆的行为可能会因驾驶员类型的不同而有所不同,从而保证自动驾驶队列的安全紧急制动。我们考虑两种类型的排拓扑,即单向和双向。安全紧急制动的特点是一种特殊类型的排稳定性,称为头尾稳定性(HTS)。针对速度跟踪和排队形两个排控律,给出了自动排与人驾驶车辆结合成为HTS的系统理论充要条件。HTS条件通过传递函数对每辆车的输入-输出行为进行建模,限制人为驾驶车辆的传递函数具有低于一定阈值的H∞范数。安全交互算法首先识别人类驾驶车辆的传递函数。然后,调整排控制增益,使整个系统满足HTS条件。理论结果得到了人体实验数据和模拟研究的验证。
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