Real-time traffic flow-based traffic signal scheduling: a queuing theory approach Online publication date: Wed, 08-Dec-2021
by Gatera Antoine; Chomora Mikeka; Gaurav Bajpai; Andras Valko
World Review of Intermodal Transportation Research (WRITR), Vol. 10, No. 4, 2021
Abstract: The lack of hierarchical road intersection management is a common scenario in low to middle-income countries. The increase in the number of vehicles leads to congestion at the road intersections, resulting in travellers delay. This paper proposes a novel multi-server queuing model for traffic signal optimisation to strengthen the sustainability of urban mobility. Given the arrival rate of cars on each road of the intersection, the queue information of every pattern movement is processed. The queuing theory concepts are applied to the collected data. The proposed performance metrics arrival rate, waiting time, an average number of cars in the queue, intersection utilisation is analysed and evaluated using ground truth data. The numerical results are graphically interpreted and show that the proposed queuing model approach reduces the delay by increasing the intersection throughput. This allows smoother traffic flow with less congestion for the users of the Giporoso intersection in Kigali.
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