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首页> 外文期刊>Journal of Intelligent & Robotic Systems: Theory & Application >Mixture of automatically -and manually-controlled vehicles in intelligent transport systems
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Mixture of automatically -and manually-controlled vehicles in intelligent transport systems

机译：自动混合 - 智能运输系统中的手动控制车辆

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This paper presents a technology which allows for the existence of mixed traffic, as a first step towards intelligent transport systems. We begin by designing an automatic driving controller called the intelligent vehicle driving system (IVDS). This is a two-layer system: the higher layer analyzes the current scenario and infers the control objective that associates with a certain index function; the lower layer optimizes the function provided by the upper layer. IVDS only uses the measurement of a vehicle's speed and distance relative to the vehicle in front, together with measurements of the vehicle's own state. Consequently, the vehicles equipped with the IVDS can operate together with manually-controlled vehicles. Next, a mathematical rule-based model for human drivers is developed. This model attempts to mimic human driver's behavior in vehicle following and lane-changing. Finally, we examine the control performance of the proposed controller and the potential benefits of mixed traffic by implementing the human driver model and IVDS on an automated highway simulator.
机译：本文介绍了一种允许混合交通存在的技术，作为朝智能运输系统的第一步。我们首先设计一种称为智能车辆驱动系统（IVDS）的自动驾驶控制器。这是一个双层系统：较高的层分析了当前的场景和Infers与某个索引功能相关联的控制目标;下层优化上层提供的功能。 IVDS仅使用车辆的速度和相对于车辆的距离的测量以及车辆自身状态的测量值。因此，配备有IVDS的车辆可以与手动控制的车辆一起操作。接下来，开发了一种用于人类驱动程序的数学规则的模型。这种模型试图模仿人类驾驶员在车辆跟随和换行符的行为。最后，我们通过在自动高速公路模拟器上实施人的驾驶员模型和IVD来检查所提出的控制器的控制性能和混合交通的潜在好处。

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