A comparative analysis of solution algorithms for nonlinear freeway traffic control problemsA comparative analysis of solution algorithms for nonlinear freeway traffic control problems Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2018-07-022016enObjective of this paper is to test and compare different solution algorithms for solving nonlinear freeway traffic control problems. The motivation of this work is related to the fact that the nonlinear problems arising in freeway traffic control are very challenging from a computational point of view, since they are generally characterized by a large number of variables and are often nonlinear and nonconvex. Hence, efficient solution algorithms for solving these problems are required in order to design efficient control frameworks to be applied in large freeway networks, possibly in real time. In this paper, some solution algorithms, either gradientbased or derivative-free, are tested on a specific freeway traffic control problem, i.e. The definition of a two-class ramp metering strategy to reduce congestions and emissions in a freeway.http://creativecommons.org/licenses/by/4.0/1773-177819th IEEE International Conference on Intelligent Transportation SystemsIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC Pasquale Cecilia Anghinolfi Davide Sacone Simona Siri Silvia Papageorgiou Markos Παπαγεωργιου Μαρκος Institute of Electrical and Electronics Engineers Traffic control Optimal control Algorithm design and analysis Vehicles Simulated annealing Nonlinear optics