Model predictive traffic control for green mobility


Reference:
B. De Schutter, "Model predictive traffic control for green mobility," Proceedings of the 2014 European Control Conference, Strasbourg, France, pp. 2260-2263, June 2014.

Abstract:
This tutorial provides a short overview of model-based predictive control approaches for traffic management using multiple performance criteria, including green mobility performance measures such as reduction of emissions and reduction of fuel consumption. In this paper we will briefly discuss the most important aspects of the topic, while also providing the interested reader with a non-exhaustive list of references that provide a more in-depth treatment of the subject. We start with a brief description of traffic management. Next, we discuss traffic flow and emission models, with an emphasis on macroscopic models, as they are well suited for on-line model-based predictive traffic control, highlighting the importance of the balance between accuracy and control performance. Next, we focus on the use of model-based predictive control (MPC) for coordinated control of various traffic control measures in small-scale freeway networks. Finally, we discuss various ways to improve the computation speed when solving the MPC optimization problem.


Downloads:
 * Corresponding technical report: pdf file (86.9 KB)
      Note: More information on the pdf file format mentioned above can be found here.


Bibtex entry:

@inproceedings{DeS:14-034,
        author={B. {D}e Schutter},
        title={Model predictive traffic control for green mobility},
        booktitle={Proceedings of the 2014 European Control Conference},
        address={Strasbourg, France},
        pages={2260--2263},
        month=jun,
        year={2014}
        }



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