Toward traffic movement optimization using adaptive inter-traffic signaling

Cosariu, Cristian; Prodan, Lucian; Vlăduţiu, Mircea

doi:10.1109/cinti.2013.6705256

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…Maintaining an efficient transportation system has been the main concern for public authorities cities confronted with multiple traffic jams each day, which cause large parts of it to become irresponsive to traffic movement(s) [1]. In a conventional traffic light controller, the traffic lights change at constant cycle times which are clearly not optimal [2].…”

Section: Introductionmentioning

confidence: 99%

Development and Simulation of Adaptive Traffic Light Controller Using Artificial Bee Colony Algorithm

Adebiyi¹,

Abubilal²,

Mu’azu³

et al. 2018

IJISA

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This paper proposes an adaptive traffic control system that dynamically manages traffic phases and durations at cross-intersection. The developed model optimally schedules green light timing in accordance with traffic condition on each lane in order to minimize the Average Waiting Time (AWT) at the cross intersection. A MATLAB based Graphic User Interface (GUI) traffic control simulator was developed. Three scenarios of vehicular traffic control were simulated and the results presented. The results show that scenario one and two demonstrated the variation of the AWT and Performance of the developed algorithm with changes in the maximum allowable green light timing over the simulation interval. In the third scenario, an AWT of 38sec was recorded against a maximum allowable green light duration of 120sec, during which 1382 vehicles were evacuated from the intersection, leaving 22 vehicles behind. The algorithm also had a performance of 98.43% over a simulation duration of 1800sec.

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Section: Introductionmentioning

confidence: 99%