SMART TRAFFIC SIGNAL CONTROL SYSTEM FOR TWO INTER-DEPENDENT INTERSECTIONS IN AKURE, NIGERIA

Authors

  • AJIBESIN SAMSON
  • PONNLE AKINLOLU
  • OYEDEPO OLUGBENGA

DOI:

https://doi.org/10.29081/jesr.v28i3.010

Keywords:

Traffic signal control, Intersection, Smart transport systems, Computer Vision, Vehicle Detection, You Only Look Once (YOLO)

Abstract

The increasing growth in urban population and vehicular volume coupled with inefficient traffic management results in traffic congestion on road networks. In this work, a smart/intelligent traffic signal control system was developed for two inter-dependent intersections in Akure, Nigeria. The system developed in this work uses deep learning and computer vision techniques to estimate the density of traffic and uses this information to adaptively switch traffic signals based on the traffic density estimated. Simulation results show that in 30 minutes of simulation, 32 signal cycles can be achieved and 967 vehicles can move at these two inter-dependent intersections

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Author Biographies

  • AJIBESIN SAMSON

    Department of Electrical and Electronics Engineering, Federal University of Technology, P.M.B. 704, Akure, Nigeria

  • PONNLE AKINLOLU

    Department of Electrical and Electronics Engineering, Federal University of Technology, P.M.B. 704, Akure, Nigeria

  • OYEDEPO OLUGBENGA

    Department of Civil Engineering, Federal University of Technology, P.M.B. 704, Akure, Nigeria

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Published

2022-10-27

How to Cite

SMART TRAFFIC SIGNAL CONTROL SYSTEM FOR TWO INTER-DEPENDENT INTERSECTIONS IN AKURE, NIGERIA. (2022). Journal of Engineering Studies and Research, 28(3), 82-92. https://doi.org/10.29081/jesr.v28i3.010

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