Explicit Robust Model Predictive Control for Urban Traffic Network

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MAHMOUDI MARYAM; HEYDARI AGHILEH; KARIMPOUR ALI

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Journal Paper

Paper Information

Journal: ROAD QUARTERLY Year:2022 | Volume:3 (20) | Issue:112 Page(s): 29-48

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Information Journal Paper

Title

Explicit Robust Model Predictive Control for Urban Traffic Network

Author(s)

MAHMOUDI MARYAM | HEYDARI AGHILEH | KARIMPOUR ALI

Keywords

Explicit Model Predictive Control

Robust Model Predictive Control

Urban Traffic Network

Traffic Signal Control

Multi-Parametric Programming

Abstract

Traffic cycle time’, s optimization and route control at urban traffic intersections is an important and complex issue in situations where the network is facing uncertainty. In this paper, a new method for obtaining the optimal traffic signal for the urban traffic network is presented which one of the important features of the proposed method is that uncertain traffic demands are taken into account. For this purpose, among all proposed models for the urban traffic network, a model with the uncertainty is selected, and designs a robust model predictive control for this. Besides, to overcome the complexity of online computing, multi-parametric programming has been used to solve the model offline, and the designed controller has been analyzed using traffic data. The results show that while meeting many of the network needs, the proposed control scheme may reduce the amount of online computing, which makes it possible to use it in real urban traffic networks.

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APA: Copy

MAHMOUDI, MARYAM, HEYDARI, AGHILEH, & KARIMPOUR, ALI. (2022). Explicit Robust Model Predictive Control for Urban Traffic Network. ROAD, 3 (20)(112 ), 29-48. SID. https://sid.ir/paper/1042985/en

Vancouver: Copy

MAHMOUDI MARYAM, HEYDARI AGHILEH, KARIMPOUR ALI. Explicit Robust Model Predictive Control for Urban Traffic Network. ROAD[Internet]. 2022;3 (20)(112 ):29-48. Available from: https://sid.ir/paper/1042985/en

IEEE: Copy

MARYAM MAHMOUDI, AGHILEH HEYDARI, and ALI KARIMPOUR, “Explicit Robust Model Predictive Control for Urban Traffic Network,” ROAD, vol. 3 (20), no. 112 , pp. 29–48, 2022, [Online]. Available: https://sid.ir/paper/1042985/en

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