1 research outputs found
Analysis and Design of Vehicle Platooning Operations on Mixed-Traffic Highways
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 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, CTM) and microscopic (Simulation for
Urban Mobility, SUMO) simulation models