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Evaluation of an MPC strategy for motorway traffic comprising connected and automated vehicles

Perraki Georgia, Roncoli Claudio, Papamichail Ioannis, Papageorgiou Markos

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URI: http://purl.tuc.gr/dl/dias/772ED6A5-A1BC-4E0B-AB17-784351C4BBF4
Year 2017
Type of Item Conference Full Paper
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Bibliographic Citation G. Perraki, C. Roncoli, I. Papamichail and M. Papageorgiou, "Evaluation of an MPC strategy for motorway traffic comprising connected and automated vehicles," ΙΝ IEEE 20th International Conference on Intelligent Transportation Systems, pp. 2315-2321, 2017. doi: 10.1109/ITSC.2017.8317635 https://doi.org/10.1109/ITSC.2017.8317635
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Summary

This paper investigates the effectiveness of a Model Predictive Control (MPC) scheme for motorway traffic involving vehicles equipped with Vehicle Automation and Communication Systems (VACS). A stretch of the motorway A20, which connects Rotterdam to Gouda in the Netherlands, is modeled in a microscopic traffic simulation environment. In order to ensure the reliability of the microscopic simulation outcome, the simulation parameters are tuned with the purpose of replicating realistic traffic conditions. The MPC framework is then applied to the calibrated microscopic simulation model aiming at the mitigation of traffic congestion in the case study motorway. The synergistic control measures for coordinated and integrated traffic control are ramp metering, with the use of conventional traffic lights, vehicle speed control, and lane changing control actions that are enabled with the aid of VACS.

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