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Reseach Article

Analysis of Traffic Congestion on Nigerian Roads (A Case Study of Sango T Junction, Ibadan, OYO STATE)

by E. A. Irunokhai, J. O. Onihunwa, E. K. Oni, J. O. Adigun, O. S. Dada
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

@article{ 10.5120/ijca2020920289,
author = { E. A. Irunokhai, J. O. Onihunwa, E. K. Oni, J. O. Adigun, O. S. Dada },
title = { Analysis of Traffic Congestion on Nigerian Roads (A Case Study of Sango T Junction, Ibadan, OYO STATE) },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2020 },
volume = { 176 },
number = { 27 },
month = { Jun },
year = { 2020 },
issn = { 0975-8887 },
pages = { 42-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number27/31371-2020920289/ },
doi = { 10.5120/ijca2020920289 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:43:37.808126+05:30
%A E. A. Irunokhai
%A J. O. Onihunwa
%A E. K. Oni
%A J. O. Adigun
%A O. S. Dada
%T Analysis of Traffic Congestion on Nigerian Roads (A Case Study of Sango T Junction, Ibadan, OYO STATE)
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 27
%P 42-46
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. Awosusi, Ajoke Olukemi and Akindutire, I.O(2010), Urban Traffic Congestion and Its Attendant Health Effects on Road Users in Ado-Ekiti, Nigeria, An International Multi-Disciplinary Journal, Ethiopia. 4(4), pp. 434-446
  2. Djahel S, Doolan R, Muntean G-M,. A communications-oriented perspective on traffic management systems for smart cities: challenges and innovative approaches. IEEE Commun Surv Tutor 2015; 17(1): 125–151.
  3. Raheem S. B., Olawoore W. A., Olagunju1 D. P., Adeokun E. M. (2015). The Cause, Effect and Possible Solution to Traffic Congestion on Nigeria Road (A Case Study of Basorun-Akobo Road, Oyo State), International Journal of Engineering Science Invention 4(2).
  4. Irunokhai E.A. and Adigun J.O.(2019). Reducing Traffic Congestion and Violation Using Round Robin Algorithm, International Journal of Applied Research and Technology. 8(3): 50-55.
  5. De Souza AM, Yokoyama R, Boukerche A, et al. Icarus: improvement of traffic condition through an alerting and re-routing system. Comput Netw 2016; 110: 118–132.
  6. Allan M de Souza, Celso ARL Brennand, Roberto S Yokoyama, Erick A Donato, Edmundo RM Madeira and Leandro AVillas(2017), Traffic management systems: A classification, review, challenges, and future perspectives, International Journal of Distributed Sensor Networks, 13(4)
  7. Carlos, D. (1999): A Different Route to Health: Implications of Transport Policies. British Medical Journal 318 (7199): 1686-1689.
  8. Ellimah, M.A.K. (2009): The Albatross of Traffic Congestion in our Cities.www.ghanaweb.com/ghanahomepage/news archive.
  9. Iversen, H.H.; Rundmo, T. (2004). Attitudes towards traffic safety, driving behaviour and accident involvement among the Norwegian public, Ergonomics. 47(5): 555-572.
  10. Oluwaseyi Joseph Afolabi and Gbadamosi Kolawole, T. (2017). Road traffic crashes in Nigeria: causes and consequences, The International Journal Transport & logistics.17(42): 40-49.
  11. Titus M. Mweta, Grace A. Musa (2018). Effect of motor vehicle traffic congestion on the financial Performance of small and medium business enterprises in Nairobi County. International Journal of Advanced Research in Management and Social Sciences. 7(2):50-62.
Index Terms

Computer Science
Information Sciences

Keywords

Traffic Roads Congestion Time Vehicle.