Analysis and Design of Vehicle Platooning Operations on Mixed-Traffic Highways
Name
2002.08164.pdf
Description
Accepted version
Size
1.06 MB
Format
Adobe PDF
Checksum (MD5)
4630b9e190bd0bf0f1fc41ff3567fe18
Author(s)
Jin, Li
Cicic, Mladen
Johansson, Karl H
Amin, Saurabh
Date Issued
October 30, 2020
Journal
IEEE Transactions on Automatic Control
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Jin, Li, Cicic, Mladen, Johansson, Karl H and Amin, Saurabh. 2020. "Analysis and Design of Vehicle Platooning Operations on Mixed-Traffic Highways." IEEE Transactions on Automatic Control, 66 (10).
Version
Author's final manuscript
Abstract
Platooning of connected and autonomous vehicles (CAVs) has a significant potential for throughput improvement. However, the interaction between CAVs and non-CAVs may limit the practically attainable improvement due to platooning. To better understand and address this limitation, we introduce a new fluid model of mixed-autonomy traffic flow and use this model to analyze and design platoon coordination strategies. We propose a tandem-link fluid model that considers randomly arriving platoons sharing highway capacity with non-CAVs. We derive verifiable conditions for stability of the fluid model by analyzing an underlying M/D/1 queuing process and establishing a Foster–Lyapunov drift condition for the fluid model. These stability conditions enable a quantitative analysis of highway throughput under various scenarios. The model is useful for designing platoon coordination strategies that maximize throughput and minimize delay. Such coordination strategies are provably optimal in the fluid model and are practically relevant. We also validate our results using standard macroscopic (cell transmission model) and microscopic (simulation for urban mobility) simulation models.
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TAC.2020.3034871
