Use of artificial neural networks to improve traffic flow on roads

Authors

  • Edwin Mejía Facultad de Informática y Electrónica, Escuela Superior Politécnica de Chimborazo, Riobamba, Ecuador.
  • Walter Armando Orozco Iguasnia Universidad Estatal Península de Santa Elena, Ecuador https://orcid.org/0000-0002-8224-1152

DOI:

https://doi.org/10.26423/rctu.v3i2.152

Keywords:

Artificial Intelligence, Artificial Neural Networks, FPGA, Simple Perceptron, intelligent traffic light

Abstract

This article aims to give an idea of how artificial Neural Networks (ANNs), a technique of Artificial Intelligence (AI) can be coupled to solve the problem of traffic on the roads in the city of Riobamba, Chimborazo province, country Ecuador using four standard traffic lights, through an example using electronic components such as FPGAs (Field Programmable Gate Array) and sensors in the field, by detecting and counting cars can give more fluidity to traffic indicated.

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Published

2016-06-12

Issue

Section

Original Articles

How to Cite

Use of artificial neural networks to improve traffic flow on roads. (2016). UPSE Scientific and Technological Magazine, 3(2), 61-65. https://doi.org/10.26423/rctu.v3i2.152