自动驾驶汽车自驾车行为对混合交通流的影响

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Yunxia Wu , Le Li , Chenming Jiang , Yangsheng Jiang , Zhihong Yao
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引用次数: 0

摘要

随着自动控制和人工智能技术的发展,自动驾驶汽车的智能化程度越来越高。然而,这种个体智能意味着自动驾驶汽车的驾驶行为可能更具攻击性和自私性。为了研究自动驾驶汽车的自驾车行为对混合交通流特性的影响,本文提出了一个考虑自动驾驶汽车自驾车行为的元胞自动机模型。首先,分析了当前混合交通流中的车辆类型,建立了通用的安全距离模型。在此基础上,提出了元胞自动机模型。该模型不仅可以描述人驾驶车辆和自动驾驶汽车的纵向跟车和横向变道行为,还可以表征自动驾驶汽车驾驶行为中的自私程度。最后,设计仿真实验,分析自动驾驶汽车自私驾驶行为对混合交通流性能指标的影响。结果表明:(1)自动驾驶汽车渗透率的提高对混合交通流的平均速度、交通稳定性和吞吐量均有正向影响;(2)总体而言,自动驾驶汽车自私变道行为对混合交通流平均速度的影响相对较小。随着交通密度的增加,影响逐渐减小。(3)在大多数情况下,自动驾驶汽车的自私跟车行为对混合交通流的平均速度和吞吐量有改善作用。综上所述,相关研究成果可为自动驾驶汽车微行为控制方案的设计提供理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of selfish driving behavior of autonomous vehicles on mixed traffic flow
With the development of automatic control and artificial intelligence technology, autonomous vehicles (AVs) are becoming more and more intelligent. However, this individual intelligence means that the driving behavior of AVs can be more aggressive and selfish. To investigate the impact of the selfish driving behavior of AVs on the characteristics of mixed traffic flow, this paper proposes a cellular automata model that considers the selfish driving behavior of AVs. First, we analyze the vehicle types‌ in the current mixed traffic flow and develop a universal safety distance model. Then, based on this, a cellular automata model is proposed. This model can not only describe the longitudinal car-following and lateral lane-changing behavior of human-driven vehicles and AVs, but also characterize the selfish degree in the driving behavior of AVs. Finally, simulation experiments are designed to analyze the impact of the selfish driving behavior of AVs on the performance indicators of mixed traffic flow. The results show that: (1) The increase in the penetration rate of AVs has a positive effect on the average velocity, traffic stability, and throughput of mixed traffic flow; (2) On the whole, the selfish lane-changing behavior of AVs has a relatively small impact on the average velocity of mixed traffic flow. The impact becomes smaller with the increase in traffic density. (3) In most scenarios, the selfish car-following behavior of AVs has an improving effect on the average velocity and throughput of mixed traffic flow. In summary, the relevant research results can provide theoretical support for the design of micro-behavioral control schemes for AVs.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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