International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 176 - Number 27 |
Year of Publication: 2020 |
Authors: E. A. Irunokhai, J. O. Onihunwa, E. K. Oni, J. O. Adigun, O. S. Dada |
10.5120/ijca2020920289 |
E. A. Irunokhai, J. O. Onihunwa, E. K. Oni, J. O. Adigun, O. S. Dada . Analysis of Traffic Congestion on Nigerian Roads (A Case Study of Sango T Junction, Ibadan, OYO STATE). International Journal of Computer Applications. 176, 27 ( Jun 2020), 42-46. DOI=10.5120/ijca2020920289
One of the major characteristic of every living thing is movement and transportation by road has been a major means of transportation long decades ago and this has been fully accompanied with road traffic congestion due to the increase population of people living in the urban areas. Mobility through vehicle opens urban-rural movement and with increase in population size along the vehicle that cater this movement has led to increase in rate of traffic and congestion. Traffic congestion is the impedance of vehicles imposed on each other due to speed flow relationship in conditions where the use of transport system approaches capacity. Nigeria is not exempted from traffic congestion, Sango T junction in the city of Ibadan was taken as a case study. In order to ascertain the average waiting time of vehicles during road traffic jam, traffic situation using direct observation and time count down of vehicle within the traffic queue was employed and traffic data was collected. Total numbers of vehicles and the specific waiting time for periodic hour was documented, this included both peak and off peak traffic periods and the data obtained was analysed using means plot, t-test and analysis of variances. Based on the result of the analysis obtained, it is vividly deduced that the peak period of traffic is in the morning even though the average waiting time for the road users in the evening was higher compared to the morning period, it was also discovered that the traffic flow does not have much significant difference between its peak and off peak period.