A CAV-based perimeter-free regional traffic control strategy utilizing existing parking infrastructure
Abstract
This paper proposes a novel perimeter-free regional traffic management strategy for networks under a connected and autonomous vehicle (CAV) environment. The proposed strategy requires a subset of CAVs to temporarily wait at nearby parking facilities when the network is congested. After a designated holding time, these CAVs are allowed to re-enter the network. Doing so helps reduce congestion and improve overall operational efficiency. Unlike traditional perimeter control approaches, the proposed strategy leverages existing parking infrastructure to temporarily hold vehicles in a way that partially avoids local queue accumulation issues. Further, holding the vehicles with the longest remaining travel distances creates a self-reinforcing mechanism which helps reduce congestion more quickly than perimeter metering control. Simulation results show that the proposed strategy not only reduces travel time for vehicles that are not held, but can also reduce travel times for some of the held vehicles as well. Importantly, its performance has been demonstrated under various configurations of parking locations and capacities and CAV penetration rates.
Cite
@article{arxiv.2412.04620,
title = {A CAV-based perimeter-free regional traffic control strategy utilizing existing parking infrastructure},
author = {Hao Liu and Vikash V. Gayah},
journal= {arXiv preprint arXiv:2412.04620},
year = {2026}
}