In this work an algorithm for the optimization of signal setting on urban network is proposed. Signal setting are designed based on a given flow in the network. However, the flow in the network is also influenced by the route choice decisions. This paper deals with traffic signal setting with demand assignment. All approaches proposed in literature to address this problem are based on equilibrium assignment, well established in literature as well as in practice. In order to improve the coordination of signal setting with traffic assignment, this paper proposed a traffic control algorithm considering traffic assignment. We proposed the platoon model to simulate the demand assignment and we developed the surrogate method to optimize the signal setting. The surrogate approach is compared with the genetic algorithm, a well known method. The objective function used in this work is a weighted sum of the delays caused by the signalized intersections, and it is calculated by platoon model via simulation. Numerical experiments on real networks are reported.
Adacher, L., Gemma, A. (2017). An optimizing algorithm to minimize the delay signal setting problem. In Proceedings - 2016 3rd International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2016 (pp.197-202). Institute of Electrical and Electronics Engineers Inc. [10.1109/MCSI.2016.29].
An optimizing algorithm to minimize the delay signal setting problem
ADACHER, LUDOVICA;GEMMA, ANDREA
2017-01-01
Abstract
In this work an algorithm for the optimization of signal setting on urban network is proposed. Signal setting are designed based on a given flow in the network. However, the flow in the network is also influenced by the route choice decisions. This paper deals with traffic signal setting with demand assignment. All approaches proposed in literature to address this problem are based on equilibrium assignment, well established in literature as well as in practice. In order to improve the coordination of signal setting with traffic assignment, this paper proposed a traffic control algorithm considering traffic assignment. We proposed the platoon model to simulate the demand assignment and we developed the surrogate method to optimize the signal setting. The surrogate approach is compared with the genetic algorithm, a well known method. The objective function used in this work is a weighted sum of the delays caused by the signalized intersections, and it is calculated by platoon model via simulation. Numerical experiments on real networks are reported.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.