Resumo

ESPINOSA VALCARCEL, FABIO ANDRÉS; GORDILLO CHAVES, CAMILO ANDRÉS; JIMENEZ MORENO, ROBINSON  e  AVILES SANCHEZ, OSCAR FERNANDO. MACHINE VISION ALGORITHMS APPLIED TO DYNAMIC TRAFFIC LIGHT CONTROL. Dyna rev.fac.nac.minas [online]. 2013, vol.80, n.178, pp.132-140. ISSN 0012-7353.

This paper presents a fuzzy traffic controller that in an autonomous, centralized and efficient way, manages vehicular traffic flow in a group of intersections. The system uses a computer vision algorithm to detect the number of cars in images captured by a set of strategically placed cameras at every intersection. Using this information, the system selects the sequence of actions that optimize traffic flow within the control area, in a simulated scenario. The results obtained show that the system reduces the delay times for each vehicle by 20% and that the controller is able to adapt smoothly to different flow changes.

Palavras-chave : Traffic control; computer vision; optimization; fuzzy control; object detection.

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