Phase transitions in mixed traffic streams comprising HDVsand CAVs through the implementation of delayed control mechanisms to mitigate traffic jerk

Tong Zhou, Yudan Tian, Meilan Zhu, Guanghan Peng and Darong Huang

Chaos, Solitons & Fractals, 2025, vol. 199, issue P1

Abstract: Due to pedestrian traffic and frequent lane changes, rapid acceleration and deceleration of vehicles often occur, resulting in the traffic jerk phenomenon. This issue is particularly pronounced in mixed fleets of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs), posing significant safety hazards. To address this, we propose a heterogeneous lattice model incorporating delayed control to mitigate traffic jerk in environments involving both CAVs and HDVs. Linear stability analysis reveals that traffic jerk adversely affects the stability of heterogeneous vehicles, whereas delayed control mitigates this negative impact. Additionally, nonlinear analysis is conducted to derive the equation related to delayed control aimed at countering traffic jerk. Finally, through simulations examining density, limit cycles, and spectral analysis in scenarios involving CAVs and HDVs, it is demonstrated that delayed control effectively resists the detrimental effects of traffic jerk on heterogeneous vehicles.

Keywords: Heterogeneous vehicles; Traffic jerk; Spectral entropy; Delayed control (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:199:y:2025:i:p1:s0960077925006927

DOI: 10.1016/j.chaos.2025.116679

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