Print Email Facebook Twitter A novel bi-level temporally-distributed MPC approach Title A novel bi-level temporally-distributed MPC approach: An application to green urban mobility Author Jamshidnejad, A. (TU Delft Control & Simulation) Sun, D. (TU Delft Transport and Planning; TU Delft Team Bart De Schutter) Ferrara, Antonella (Pavia University) De Schutter, B.H.K. (TU Delft Delft Center for Systems and Control) Department Delft Center for Systems and Control Date 2023 Abstract Model predictive control (MPC) has been widely used for traffic management, such as for minimizing the total time spent or the total emissions of vehicles. When long-term green urban mobility is considered including e.g. a constraint on the total yearly emissions, the optimization horizon of the MPC problem is significantly larger than the control sampling time, and thus the number of the variables that should be optimized per control time step becomes very large. For systems with dynamics that involve nonlinear, non-convex, and non-smooth functions, including urban traffic networks, this results in optimization problems that are computationally intractable in real time. In this paper, we propose a novel bi-level temporal distribution of such complex MPC optimization problems, and we develop two mathematically linked short-term and long-term MPC formulations with small and large control sampling times that will be solved together instead of the original complex optimization problem. The resulting bi-level control architecture is used to solve the two MPC formulations online for real-time control of urban traffic networks with the objective of long-term green mobility. In order to assess the performance of the bi-level control architecture, we perform a case study where a rough version of the model of the urban traffic flow, S-model, is used by the long-term MPC level to estimate the states of the urban traffic networks, and a detailed version of the model is used by the short-term MPC level. The results of the simulations prove the effectiveness (with respect to the objective of control, as well as computational efficiency) of the proposed bi-level MPC approach, compared to state-of-the-art control approaches. Subject Temporally distributed MPCMultiple-frequency controlGreen urban mobility To reference this document use: http://resolver.tudelft.nl/uuid:896db6a9-7132-4204-8e1b-35fac45c6090 DOI https://doi.org/10.1016/j.trc.2023.104334 ISSN 0968-090X Source Transportation Research. Part C: Emerging Technologies, 156 Part of collection Institutional Repository Document type journal article Rights © 2023 A. Jamshidnejad, D. Sun, Antonella Ferrara, B.H.K. De Schutter Files PDF 1_s2.0_S0968090X23003236_main.pdf 1.05 MB Close viewer /islandora/object/uuid:896db6a9-7132-4204-8e1b-35fac45c6090/datastream/OBJ/view