Integrated network linear-quadratic model predictive control for disturbance on freeways

Conference paper (2014)
Department
Transport & Planning (CEG) (TU Delft)
Copyright: © 2015 The Author(s)
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Published Date

23-06-2014

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Source:

Joint Chinese-Dutch Seminar on Transportation Management and Travel Behaviour for Urban Emergencies: Past, Present, and Future Research, Shanghai, China, 23-25 June 2014

Faculty

Civil Engineering and Geosciences

Department

Transport & Planning

Abstract

We propose an integrated approach for dynamic route guidance and ramp metering using Linear Quadratic Model Predictive Control (LQMPC). The main objective is to maximize the throughput of the network by guiding traffic flow towards to insufficiently utilized infrastructures. Due to the linear property of the LQMPC, it is fast enough for real-time online traffic control with a short control step (30 second for example). Simulation results from a case study demonstrate that the proposed traffic control approach has great potential to solve congestion when disturbances occur on freeways.

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