This research demonstrates enhanced traffic flow and reduced congestion using semigroup actions in urban settings.
This research presents a semigroup-theoretic approach to optimizing traffic light control systems. By modelling signal states as elements of a cyclic semigroup, transitions can be analyzed and manipulated algebraically. The proposed method uses semigroup actions to dynamically adjust signal timings based on real-time traffic inputs. Case studies and simulation results show that semigroup-based scheduling can enhance urban mobility, reduce congestion, and improve overall traffic flow.
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Shinde et al. (2025) studied this question.
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