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Main Authors: Yazgan, Melih, Tatar, Süleyman, Zöllner, J. Marius
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.06071
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author Yazgan, Melih
Tatar, Süleyman
Zöllner, J. Marius
author_facet Yazgan, Melih
Tatar, Süleyman
Zöllner, J. Marius
contents This paper introduces a centralized approach for fuel-efficient urban platooning by leveraging real-time Vehicle- to-Everything (V2X) communication and Signal Phase and Timing (SPaT) data. A nonlinear Model Predictive Control (MPC) algorithm optimizes the trajectories of platoon leader vehicles, employing an asymmetric cost function to minimize fuel-intensive acceleration. Following vehicles utilize a gap- and velocity-based control strategy, complemented by dynamic platoon splitting logic communicated through Platoon Control Messages (PCM) and Platoon Awareness Messages (PAM). Simulation results obtained from the CARLA environment demonstrate substantial fuel savings of up to 41.2%, along with smoother traffic flows, fewer vehicle stops, and improved intersection throughput.
format Preprint
id arxiv_https___arxiv_org_abs_2505_06071
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Centralized Decision-Making for Platooning By Using SPaT-Driven Reference Speeds
Yazgan, Melih
Tatar, Süleyman
Zöllner, J. Marius
Robotics
Systems and Control
This paper introduces a centralized approach for fuel-efficient urban platooning by leveraging real-time Vehicle- to-Everything (V2X) communication and Signal Phase and Timing (SPaT) data. A nonlinear Model Predictive Control (MPC) algorithm optimizes the trajectories of platoon leader vehicles, employing an asymmetric cost function to minimize fuel-intensive acceleration. Following vehicles utilize a gap- and velocity-based control strategy, complemented by dynamic platoon splitting logic communicated through Platoon Control Messages (PCM) and Platoon Awareness Messages (PAM). Simulation results obtained from the CARLA environment demonstrate substantial fuel savings of up to 41.2%, along with smoother traffic flows, fewer vehicle stops, and improved intersection throughput.
title Centralized Decision-Making for Platooning By Using SPaT-Driven Reference Speeds
topic Robotics
Systems and Control
url https://arxiv.org/abs/2505.06071