Avoided traffic jams optimising the scheduling of signalised intersection of Mendoza Downtown and surroundings

PABLO JAVIER VIDAL; ANA CAROLINA OLIVERA

Mendoza

Congreso; IV Congreso Internacional de Ciencias de la Computación y Sistemas de Información; 2020

Universidad Champagnat

Congestion and pollution are crucial parameters of quality for living in a city. A correct synchronisation of traffic signals cycles can relieve these issues considering the traffic flow in an area. However, the synchronisation of large scale real scenarios is still an open research topic. In this work, an analysis of the use of optimisation algorithms for signalised intersections scheduling of Mendoza Downtown and surroundings is presented. The results confirm that correct traffic lights programming in large scale scenarios applying optimisation algorithms contributes to improving the air quality and traffic flow of vehicles.