skip to main content

MAPPING AND ASSESSMENT OF TRAFFIC CONGESTION ON MAJOR ROADS IN MINNA (CASE STUDY OF CHANCHAGA L.G.A)

Oluibukun Gbenga Ajayi orcid  -  Federal University of Technology, Minna, Nigeria
*Ayodeji Timothy Oluwunmi orcid  -  Federal University of Technology Minna, Nigeria
Joseph Olayemi Odumosu  -  Federal University of Technology, Minna, Nigeria
Taiwo James Adewale  -  Moshood Abiola Polytechnic, Ogun State, Nigeria

Citation Format:
Abstract

The level of urbanization in the developing world indicates that more people live in cities nowadays than before. As urbanization increases, road usage also proportionately increases which sometimes introduce some strains to the existing road. As a consequence, it constitutes some impediments to free traffic flow. The situation described above is located on Chanchaga Local Government Area of Niger State, an urban center in North central, Nigeria. In order to investigate the probable causes and degree of severity of this menace, attempt has been made in this research to investigate and map out the nature of traffic congestion frequently experienced on some selected roads within Chanchaga LGA. These road networks include: Kpakungu-Gidan Kwano road, Bosso-Mobil route, Bosso–Mekunkele route, Kpakungu–city gate road and Book roundabout–Mobil Route. Using a 1m Pan-Sharpened spatial resolution IKONOS Image, handheld GPS receivers, and manual traffic count, the traffic patterns of the selected road networks within the study area were assessed and mapped out. A Geo-Database was also designed for the routes which provide information about the road pavement condition, average traffic volume, adjacent land use, etc. Analysis of results and other performed queries revealed that the most probable causes of traffic congestion in Chanchaga LGA were due to narrow road width, bad road pavement and indiscriminate parking of vehicles along the road corridors, especially by commercial cab drivers. Conclusively, it was observed that the Kpakungu axis of Minna – Bida road is the most congested route of the entire road networks considered, closely followed by the Bosso-Mobil Road. The traffic gridlock along these routes is most prominent on Mondays and Wednesdays (around 8am and 4pm) and correspondingly on Fridays (around 1-4pm). Furthermore, a free traffic flow is frequently experienced on Saturdays by 8am which gradually builds a synchronized flow around the evening time on all the considered road networks. 

Fulltext View|Download
Keywords: Urbanization, Traffic Mapping, Geospatial modeling, dynamic road segmentation, land use, Traffic Information System
Funding: Keywords: Urbanization, Traffic Mapping, Geospatial modeling, dynamic road segmentation, land use, Traffic Information System

Article Metrics:

  1. Ajala, D. O. (2011). Challenges of Traffic Management in Osogbo as an Emergent State Capital. In PhD Research Thesis submitted to the Department of Urban and Regional Planning, Federal University of Technology, Akure, Nigeria.

  2. Ajayi, O. G., Odumosu, J. O., Samaila-Ija, H. A., Zitta, N., Adesina, E. A., & Olanrewaju, O. J. (2015). Dynamic Road Segmentation of Part of Bosso Local Government Area, Niger State. American Journal of Geographic Information System, 4(2), 64–75.

  3. Ajayi, O. G., Onuigbo, I. C., Odumosu, J. O., Adewale, T. J., & Gbedu, A. M. (2015). Mapping Road Traffic Accident Hotspots and evaluating the causative factors of their probable causes in Minna, Niger State. In 6th International Conference on HealthGIS- 2015. GeoICT for Epidemic Control and HealthCare, 19 -21 November, 2015, Mysore, India.

  4. Aworemi, J. R., Abdul-Azeez, I. A., Oyedokun, A. J., & Adewoye, J. O. (2009). A study of the causes, effects and Ameliorative Measures of Road Traffic Congestion in Lagos Metropolis. European Journal of Social Sciences, 11(1), 119–128.

  5. Kimathi, M. E. M. (2012). Mathematical models for 3-phase traffic flow theory.

  6. Lindsey, R., & Verhoef, E. (2009). Traffic Congestion and Congestion Pricing. Tinbergen Institute Discussion Papers 00-101/3, Tinbergen Institute, 2000.

  7. Ogunbodede, E. F. (2007). Assessment of traffic congestions in Akure (Nigeria) using GIS approach: lessons and challenges for urban sustenance. In Proc. Conf. on Whole Life Urban Sustainability (pp. 1–25).

  8. Ogunbodede, E. F., & Aribigbola, A. (2003). Traffic Management Practices and Problems in Akure, Nigeria. Indian Journal of Transport Management, 27(3), 305–322.

  9. Okagbue, H. I., et al. (2015). On the Motivations and Challenges Faced by Commuters Using Bus Rapid Transit in Lagos, Nigeria. The Social Sciences, 10(6), 696–701.

  10. Olatunji, A., & Diugwu, I. A. (2013). A Project Management Perspective to the Management of Federal Roads in Nigeria: A Case Study of Minna-Bida Road. Journal of Finance and Economics, 1(4), 54–61. [https://doi.org/10.12691/jfe-1-4-1">Crossref]

  11. Olusina, J. O., & Olaleye, J. B. (2013). Transaction-Based Intelligent Transportation System (TBITS) Using Stochastic User Utility Model. Transactions in GIS, 17(1), 109–123. [https://doi.org/10.1111/j.1467-9671.2012.01358.x">Crossref]

  12. Onasanya, A., & Akanmu, J. O. (2002). Quantitative Estimates of Traffic Congestion on Lagos--Abeokuta Road, Lagos, Nigeria. Journal of Civil Engineering, Nigeria Institution of Civil Engineering.

  13. Park, M. J. (2012). Three phase traffic theory.

  14. Pike, E. (2010). Congestion charging: challenges and opportunities.

  15. Rao, A. M., & Rao, K. R. (2012). Measuring urban traffic congestion – A Review. International Journal for Traffic and Transport Engineering, 2(4), 286–305. [https://doi.org/10.7708/ijtte.2012.2(4).01">Crossref]

  16. Willett, K. (2006). Stuck in traffic and stuck for solutions: Brisbane’s congestion crisis’. In Australian institute of Transport Planning and Management (Qld) Seminar.


Last update:

  1. Mobile Crowdsourcing in Smart Cities: Technologies, Applications, and Future Challenges

    Xiangjie Kong, Xiaoteng Liu, Behrouz Jedari, Menglin Li, Liangtian Wan, Feng Xia. IEEE Internet of Things Journal, 6 (5), 2019. doi: 10.1109/JIOT.2019.2921879
  2. Potentials and Prospects of Bicycle Sharing System in Smart Cities: A Review

    Shu Shen, Cai-Xia Lv, Hao Zhu, Li-Juan Sun, Ru-Chuan Wang. IEEE Sensors Journal, 22 (8), 2022. doi: 10.1109/JSEN.2022.3160178

Last update: 2024-03-27 19:57:53

  1. Mobile Crowdsourcing in Smart Cities: Technologies, Applications, and Future Challenges

    Xiangjie Kong, Xiaoteng Liu, Behrouz Jedari, Menglin Li, Liangtian Wan, Feng Xia. IEEE Internet of Things Journal, 6 (5), 2019. doi: 10.1109/JIOT.2019.2921879