Decentralized Cooperative Merging of Platoons of Connected and Automated Vehicles at Highway On-Ramps

Autor:	Kumaravel, Sharmila Devi, Malikopoulos, Andreas A., Ayyagari, Ramakalyan
Rok vydání:	2020
Předmět:	Mathematics - Optimization and Control
Zdroj:	2021 American Control Conference (ACC), 2021, pp. 2055-2060
Druh dokumentu:	Working Paper
DOI:	10.23919/ACC50511.2021.9483390.
Popis:	In this paper, we propose an optimization framework for cooperative merging of platoons of connected and automated vehicles at highway on-ramps. The framework includes (1) an optimal scheduling algorithm, through which, each platoon derives the sequence and time to enter the highway safely, and (2) an optimal control algorithm that allows each platoon to derive its optimal control input (acceleration/deceleration) in terms of fuel consumption. We evaluate the efficacy of the proposed optimization framework through VISSIM-MATLAB simulation environment. The proposed framework significantly reduces the crossing time and fuel consumption of platoons at the highway on-ramps. Comment: 6 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2002.04826 Zobrazit plný text záznamu View this record from Arxiv