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Electrical Engineering and Systems Science > Systems and Control

arXiv:2309.01625 (eess)
[Submitted on 4 Sep 2023 ]

Title: Information Flow Topology in Mixed Traffic: A Comparative Study between "Looking Ahead" and "Looking Behind"

Title: 混合交通中的信息流拓扑:“向前看”与“向后看”的比较研究

Authors:Shuai Li, Haotian Zheng, Jiawei Wang, Chaoyi Chen, Qing Xu, Jianqiang Wang, Keqiang Li
Abstract: The emergence of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly focuses on "looking ahead" (i.e., the CAVs receive information from preceding vehicles) strategies for CAVs, while recent work reveals that "looking behind" (i.e., the CAVs receive information from their rear vehicles) strategies might provide more possibilities for CAV longitudinal control. This paper presents a comparative study between these two types of information flow topology (IFT) from the string stability perspective, with the role of maximum platoon size (MPS) also under investigation. Precisely, we provide a dynamical modeling framework for the mixed platoon under the multi-predecessor-following (MPF) topology and the multi-successor-leading (MSL) topology. Then, a unified method for string stability analysis is presented, with explicit consideration of both IFT and MPS. Numerical results suggest that MSL ("looking behind") outperforms MPF ("looking ahead" ) in mitigating traffic perturbations. In addition, increasing MPS could further improve string stability of mixed traffic flow.
Abstract: 连接和自动驾驶车辆(CAVs)的出现有望实现更顺畅的交通流。 在存在人类驾驶车辆(HDVs)的混合交通中,现有研究主要集中在“向前看”(即CAVs从前方车辆获取信息)的策略上,而近期的研究表明,“向后看”(即CAVs从后方车辆获取信息)的策略可能为CAV纵向控制提供更多可能性。 本文从字符串稳定性的角度对这两种信息流拓扑结构(IFT)进行了比较研究,同时也在研究最大队列长度(MPS)的作用。 具体而言,我们为在多前导跟随(MPF)拓扑和多后随引领(MSL)拓扑下的混合队列提供了一个动态建模框架。 然后,提出了一种统一的字符串稳定性分析方法,并明确考虑了IFT和MPS。 数值结果表明,MSL(“向后看”)在缓解交通扰动方面优于MPF(“向前看”)。 此外,增加MPS可以进一步提高混合交通流的字符串稳定性。
Comments: This paper has been accepted by 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:2309.01625 [eess.SY]
  (or arXiv:2309.01625v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2309.01625
arXiv-issued DOI via DataCite

Submission history

From: Shuai Li [view email]
[v1] Mon, 4 Sep 2023 14:17:38 UTC (6,346 KB)
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