Fast and smooth cut-in maneuvers in vehicle platoons are challenging due to abrupt structural changes that induce reference discontinuities and downstream disturbance propagation. From a theoretical perspective, existing string stability formulations do not explicitly account for reference discontinuities caused by cut-in-induced platoon reordering. To address this gap, a novel definition of local string stability is introduced and formally proven, ensuring local spacing regulation and attenuation of reference-induced disturbances within downstream sub-platoons. Building on this theoretical foundation, this paper proposes a three-stage framework that integrates offline pre-planning, traffic-aware online re-planning, and distributed MPC to accommodate time-varying traffic conditions while preserving local string stability during cut-in maneuvers. A hybrid reference tracking strategy with adaptive weighting is designed to enable fast and smooth trajectory transitions during cut-in maneuvers. Simulation results demonstrate the effectiveness of the proposed method in terms of maneuver execution quality and convergence performance under representative cut-in scenarios.

Fast and Smooth Trajectory Planning and Control for Vehicle Platoons During Cut-In Maneuvers

Xu, Zeyuan;Ferrara, Antonella
2026-01-01

Abstract

Fast and smooth cut-in maneuvers in vehicle platoons are challenging due to abrupt structural changes that induce reference discontinuities and downstream disturbance propagation. From a theoretical perspective, existing string stability formulations do not explicitly account for reference discontinuities caused by cut-in-induced platoon reordering. To address this gap, a novel definition of local string stability is introduced and formally proven, ensuring local spacing regulation and attenuation of reference-induced disturbances within downstream sub-platoons. Building on this theoretical foundation, this paper proposes a three-stage framework that integrates offline pre-planning, traffic-aware online re-planning, and distributed MPC to accommodate time-varying traffic conditions while preserving local string stability during cut-in maneuvers. A hybrid reference tracking strategy with adaptive weighting is designed to enable fast and smooth trajectory transitions during cut-in maneuvers. Simulation results demonstrate the effectiveness of the proposed method in terms of maneuver execution quality and convergence performance under representative cut-in scenarios.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1548624
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