Published June 19, 2024 | Version v1
Journal article Open

Stability of regional traffic networks employing maximum throughput demand management

  • 1. KIOS Research and Innovation Center of Excellence, University of Cyprus
  • 2. Department of Electrical and Computer Engineering, University of Cyprus

Description

This paper considers the stability and optimality properties of traffic demand management schemes, motivated by the integration of smart monitoring and control technologies in traffic networks. First, a suitable optimization problem is formulated that aims to obtain demand input values that maximize the throughput within traffic networks adhering to regional traffic dynamics with triangular macroscopic fundamental diagrams. We show that optimal solutions to this problem may lead to unstable behaviour, revealing a trade-off between stability and optimality. To address this issue, we analytically study the stability properties of traffic networks at the presence of constant demand input and provide suitable local conditions that guarantee stability when the system's equilibrium densities are strictly within the free-flow region, but not at the critical density. The latter case is significant, since the maximum throughput behaviour coincides in many cases with the local critical density. We resolve this by proposing a decentralized proportional demand control scheme and suitable local design conditions such that stability is guaranteed. Our analytic results are validated with numerical simulations in a 3-region system that demonstrate the effectiveness and practicality of the proposed approach.

Other

Non-EU funding agencies: Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation, and Digital Strategy

Notes

This version of the manuscript has been accepted for publication in European Journal of Control after peer review (Author Accepted Manuscript). It is not the final published version (Version of Record) and does not reflect any postacceptance improvements. The Version of Record is available online at https://doi.org/10.1016/j.ejcon.2024.101061.

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Additional details

Funding

European Commission
KIOS CoE – KIOS Research and Innovation Centre of Excellence 739551
European Research Council
"Real-Time Urban Mobility Management via Intelligent UAV-based Sensing" (URANUS) 101088124