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Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles

机译:载人与无人驾驶混合运输系统的安全交叉口管理

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Most recent studies on establishing intersection safety focus on the situation where all vehicles are fully autonomous. However, currently most vehicles are human-driven and so we will need to transition through regimes featuring a varying proportion of human-driven vehicles ranging from 100% to 0% before realizing such a fully autonomous future - if ever. We will, therefore, need to address the safety of hybrid systems featuring an arbitrary mixture of human-driven and autonomous vehicles. In fact, recent incidents involving autonomous vehicles have already highlighted the need to study the safety of autonomous vehicles co-existing with human-driven vehicles. Motivated by this we address the design of provably safe intersection management for mixed traffic consisting of a mix of human-driven vehicles (HVs) as well as autonomous vehicles (AVs). To analyze such mixed traffic, we model HVs as near-sighted and with relatively loose constraints, permitting worst-case behavior while AVs are considered capable of following much tighter constraints. HVs are allowed freedom to change their speed at any time while AVs are only allowed to change their speed at the beginning of a time slot through a Model Predictive Controller (MPC). AVs are assumed to possess a shorter response time and stronger braking capability than HVs in collision avoidance. Moreover, AVs obtain the permissions of passing through the intersection through vehicle-to-infrastructure (V2I) communication, while HVs achieve the same objective by following traffic lights. Taking the above differences into consideration, we propose a provably safe intersection management for mixed traffic comprised of an MPC-based protocol for AVs, a permission assignment policy for AVs along with a coordination protocol for traffic lights. In order to respect the distinctiveness of HVs, the proposed protocol ensures that the traffic lights, as well as the semantic meanings of their colors, are consistent with current practice. A formal proof of safety of the system under the proposed combined protocol is provided.
机译:建立交叉路口安全性的最新研究集中在所有车辆都完全自主的情况下。但是,当前大多数车辆都是人为驱动的,因此,我们必须转变以人为驱动的车辆所占比例从100%到0%的比例,以实现这样一个完全自主的未来(如果有的话)。因此,我们将需要解决混合动力系统的安全性问题,该混合动力系统具有人类驾驶和自动驾驶车辆的任意混合。实际上,最近发生的涉及自动驾驶汽车的事件已经凸显了研究与人类驾驶汽车共存的自动驾驶汽车安全性的必要性。因此,我们致力于为混合交通(包括混合动力驾驶车辆(HV)和自动驾驶车辆(AV))提供可证明安全的十字路口管理设计。为了分析这种混合交通,我们将HV建模为近视且约束相对宽松,允许最坏情况下的行为,而AV被认为能够遵循更严格的约束。允许HV在任何时间自由更改速度,而仅允许AV在某个时隙开始时通过模型预测控制器(MPC)更改其速度。在避免碰撞方面,AV被认为比HV具有更短的响应时间和更强的制动能力。此外,AV通过车辆到基础设施(V2I)通信获得通过交叉路口的许可,而HV通过跟随交通信号灯实现相同的目的。考虑到以上差异,我们提出了一种针对混合交通的可证明安全的路口管理,其中包括基于AV的基于MPC的协议,针对AV的许可分配策略以及针对交通灯的协调协议。为了尊重HV的独特性,所提出的协议确保交通信号灯及其颜色的语义含义与当前实践一致。提供了在建议的组合协议下系统安全性的正式证明。

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