ABSTRACT Perception is presented as a predominant concern in the functioning of a driving system, where it is necessary to understand how the information, events, and actions of each influence the state of the environment and the objectives of the driver, immediately and in the near future. In this context, we present in this paper a driving model composed of five layers which ensure the autonomy and road safety of a driver agent, in particular, we are interested in this article in the concept of perception which is translated by the first three layers of our driving model, which are: visual perception, comprehension and projection, where the execution of these three layers is based on the driving behavior adopted by the driver agent, which is in our case the car-following driving behavior. Furthermore, we present in this paper two simulation scenarios, the first one is realized based on urban area conditions, and the second one is conducted by using Next Generation SIMulation (NGSIM) dataset of a highway in Los Angeles, California. In this context, the experimental results present the effectiveness of our driving model based on the imitation of human behavior and according to reducing the duration of perception.

中文翻译：

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基于驾驶行为的主动感知多智能体协作：在跟车行为中的应用

摘要 感知被认为是驾驶系统功能中的主要关注点，有必要了解每个信息、事件和行为如何立即和近距离地影响环境状态和驾驶员的目标。未来。在这种背景下，我们在本文中提出了一个由五层组成的驾驶模型，以确保驾驶员代理的自主性和道路安全，特别是我们对本文感兴趣的前三层翻译的感知概念我们的驾驶模型，分别是：视觉感知、理解和投影，其中这三层的执行是基于驾驶员代理采用的驾驶行为，在我们的例子中是跟车驾驶行为。此外，我们在本文中介绍了两种模拟场景，第一种是基于市区条件实现的，第二种是使用加利福尼亚州洛杉矶高速公路的下一代模拟 (NGSIM) 数据集进行的。在这种情况下，实验结果展示了我们基于模仿人类行为和减少感知持续时间的驾驶模型的有效性。