University Links: Home Page | Site Map
Covenant University Repository

Design and Construction of Density Based Traffic Control System

Usikalu, M.R. and Okeke, G.A. and Ayanbisi, O and Adagunodo, T. A. and Babarimisa , I. O. (2019) Design and Construction of Density Based Traffic Control System. In: International Conference on Energy and Sustainable Environmen.

[img] PDF
Download (4Mb)


Congestion is a serious issue due to vechicular traffic. One of the known causes of traffic congestion is the amount of time spend waiting for the red light to change to green. The changing of traffic light is hard-coded and it is not reliant on traffic volume. There is therefore need to simulate and optimize traffic control to better accommodate density based traffic rather than time based. This system attempts to lessen possibilities of traffic jams brought about by traffic lights to a reasonable degree. This project, a density based traffic control system is been implemented to solve this problem. The system entails programming an Arduino using Arduino integrated development environment (IDE) to enable traffic lights give the right of access to the road by selecting the lane with the high number of cars. The traffic lights are modified to chip away at an auspicious premise until there is a signal identified by the infrared sensors. The sensor identifies an object (i.e. a vehicle, a motorcycle etc) and signals the Arduino to control the traffic lights for its individual path. Once there is no sign identified by any of the four sensors the traffic lights keep on dealing with an auspicious premise. The mean response time of the sensor was found to be 0.39 seconds. Further research is recommended to produce the device on a large scale to be deployed to all roads in the country.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Traffic, Density, Control, IR sensors.
Subjects: Q Science > Q Science (General)
Q Science > QC Physics
Divisions: Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 24 Oct 2019 20:55
Last Modified: 24 Oct 2019 20:55

Actions (login required)

View Item View Item