Abstract
This work introduces and evaluates a phase memory controller for isolated intersection traffic signals. At the end of each phase, the controller generates the next phase and its green time. His goal is to simultaneously optimize the average and maximum queuing times. The distinguishing property of this controller is that it takes into account a memory of the last phases that took place to decide the next phase. The idea behind the phase memory is that decision making takes into account which phases have received green times in the recent past and that this information reinforces the optimization of the objective. Considering the decision parameters of green times independent of those of the phase decision, when the queue lengths are given, the controller is optimized by a Diploid Differential Evolution algorithm. Although this controller has a smaller number of parameters to tune, its performance is comparable to that of other state of the art controllers.
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da Costa, N.J.C., Maia, J.E.B. (2021). A Phase Memory Controller for Isolated Intersection Traffic Signals. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. https://doi.org/10.1007/978-3-030-71187-0_28
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DOI: https://doi.org/10.1007/978-3-030-71187-0_28
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