Published December 14, 2021 | Version v1
Conference paper Open

Traffic-Light Control at Urban Intersections Using Expected Waiting-Time Information

Description

We consider an optimal traffic-light control framework for urban traffic intersections to alleviate congestion phenomena. We analyze a scenario in which we provide drivers with information about the waiting time at the intersections. We model the drivers’ lane-changing information-based behavior as the solution of a convex optimization problem. We compute the optimal traffic-light control mechanism as the solution to a bi-level optimization problem. We provide a complete analysis in terms of (i) the existence of a solution; (ii) an iterative algorithm to compute it; (iii) sufficient conditions for the solution’s uniqueness and the algorithm’s convergence. Early simulation results show the proposed control scheme’s effectiveness compared with an optimal control algorithm in the absence of waiting-time information.

Notes

2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A. Ghosh, M. Scandella, M. Bin and T. Parisini, "Traffic-Light Control at Urban Intersections Using Expected Waiting-Time Information," in 60th IEEE Conference on Decision and Control (CDC), 2021, pp. 1953-1959, doi: 10.1109/CDC45484.2021.9683623.

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Additional details

Funding

KIOS CoE – KIOS Research and Innovation Centre of Excellence 739551
European Commission